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["Indicator Registry - highlighting those used for HNO and HRP response planning "]
["Global Clusters","HNO and HRP","Code","Sub-domain","Title","Description","Unit of Measurement","Unit Description","Denominator","Numerator","Disaggregation","Key indicator","Types","Response Monitoring","Standards","Threshold","Guidance on phases","General guidance","Guidance for pre-crisis/baseline","Comments","Data Sources","Sector cross-tagging"]
["Nutrition","Core - Outcome","N-001","N1 Prevention and Management of Acute Malnutrition","Global acute malnutrition (GAM)","prevalence (%) of global acute malnutrition in children 6 to 59 months of age based on presence of bilateral pitting oedema and / or weight-for-height z-score less than -2 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for global acute malnutrition","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"WHO TRS 854. Severity classification: 5,10, 15%","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,"Note that WFH and MUAC do not measure the same things and are not comparable. Data on the global malnutrition rate should be compared by sex in order to identify any specific discrimination girls or boys might face in accessing nutrition. In case there is an important difference between the percentage of girls and the percentage of boys suffering from malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing in equally accessing nutrition, including an analysis of the socio cultural habits and beliefs that might differently impact on girls' and boys' nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Core - Outcome","N-005","N1 Prevention and Management of Acute Malnutrition","Moderate acute malnutrition (MAM)","prevalence (%) of moderate acute malnutrition in children 6 to 59 months of age based on presence of weight-for-height z-score less than -2 and equal or greater than -3 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for moderate acute malnutrition","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"No standard WHO thresholds; this indicator cut-off should be interpreted in consideration of other indicators including morbidity, mortality and proportion of GAM","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals","Prevalence easy to derive by subtracting SAM from GAM","Note that WFH and MUAC do not measure the same things and are not comparable. Data on the moderate acute malnutrition prevalence should be compared by sex in order to identify any specific discrimination girls or boys might face in accessing nutrition. In case there is an important difference between the percentage of girls and the percentage of boys suffering from malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing in equally accessing nutrition, including an analysis of the socio cultural habits and beliefs that might differently impact on girls' and boys' nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Core - Outcome","N-003","N1 Prevention and Management of Acute Malnutrition","Severe acute malnutrition (SAM)","prevalence (%) of severe acute malnutrition in children 6 to 59 months of age based on presence of bilateral pitting oedema and / or weight-for-height z-score less than -3 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for severe acute malnutrition","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"No standard WHO thresholds; this indicator cut-off should be interpreted in consideration of other indicators including morbidity, mortality and proportion of GAM; Reference: WHO child growth standards and the identification of severe acute malnutrition in infants and children. A Joint Statement by the World Health Organization and the United Nations Children's Fund, 2009.","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,"Note that WFH and MUAC do not measure the same things and are not comparable. Data on the severe acute malnutrition prevalence should be compared by sex in order to identify any specific discrimination girls or boys might face in accessing nutrition. In case there is an important difference between the percentage of girls and the percentage of boys suffering from malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing in equally accessing nutrition, including an analysis of the socio cultural habits and beliefs that might differently impact on girls' and boys' nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, H1 General clinical services & essential trauma care, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Core - Outcome","N-008","N1 Prevention and Management of Acute Malnutrition","Acute malnutrition based on MUAC and oedema","prevalence (%) of children 6-59 months with MUAC less than 125 mm and/or having bilateral pitting oedema","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for wasting based on MUAC","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"WHO child growth standards and the identification of severe acute malnutrition in infants and children. A Joint Statement by the World Health Organization and the United Nations Children's Fund, 2009.","Phase I,II; added to surveys Phase III,IV","When possible to use representative surveys, alternatively - rapid nutrition assessment with smaller number of children can give an idea of the situation - but these findings from a rapid nutrition assessment - with small numbers of children need to be treated with caution and should NOT be presented as prevalence but as number of children",null,"It is a good practice to disaggregate oedema cases, however there is a concern of accuracy and precision","Population surveys with representative sampling methods (MICS, DHS, SMART) & rapid nutrition assessment","F1 Food Assistance, F3 Food Access, F5 Market Access, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal, W4 Vector Control"]
["Nutrition","Core - Outcome","N-010","N1 Prevention and Management of Acute Malnutrition","Moderate acute malnutrition based on MUAC","prevalence (%) children 6-59 months with MUAC less than 125 mm but equal or more than 115 mm","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for moderate wasting based on MUAC","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,null,"Phase I,II; added to surveys Phase III,IV","When possible to use representative survey, alternatively - rapid nutrition assessment with smaller number of children can give you a idea of the situation - but these findings from a rapid nutrition assessment - with small numbers of children need to be treated with caution and should NOT be presented as prevalence but as number of children","Prevalence easy to derive by subtracting Proportion of severe wasting based on low MUAC from Proportion of wasting based on low MUAC",null,"Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, F3 Food Access, F5 Market Access, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal, W4 Vector Control"]
["Nutrition","Core - Outcome","N-009","N1 Prevention and Management of Acute Malnutrition","Severe acute malnutrition based on MUAC and oedema","prevalence (%) children 6-59 months with MUAC less than 115 mm and/or having bilateral pitting oedema","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for severe wasting based on MUAC","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"WHO child growth standards and the identification of severe acute malnutrition in infants and children. A Joint Statement by the World Health Organization and the United Nations Children's Fund, 2009.","Phase I,II; added to surveys Phase III,IV","When possible to use representative surveys, alternatively - rapid nutrition assessment with smaller number of children can give an idea of the situation - but these findings from a rapid nutrition assessment - with small numbers of children need to be treated with caution and should NOT be presented as prevalence but as number of children",null,"It is a good practice to disaggregate oedema cases, however there is a concern of accuracy and precision.","Population surveys with representative sampling methods (MICS, DHS, SMART) & rapid nutrition assessment","F1 Food Assistance, F3 Food Access, F5 Market Access, F7 Utilization, H1 General clinical services & essential trauma care, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal, W4 Vector Control"]
["Nutrition","Core - Outcome","N-011","N1 Prevention and Management of Acute Malnutrition","Acute malnutrition in Pregnant and Lactating Women","prevalence (%) PLW with MUAC less than 210-230 mm (Note: Countries use a range of different cut-offs depending on resources)","Individual","Percentage","Total number of Pregnant and Lactating Women with infants below age of 0 to 5 months surveyed","Number of Pregnant and Lactating Women with infants 0-5 months that meet the criteria for acute malnutrition based on MUAC","Geographical area","Yes","Baseline, Outcome","Yes",null,null,"All phases","There are NO agreed international Cut off points for MUAC for PLW so National MUAC cut off points may vary, If available/possible, use representative survey, if not - rapid nutrition assessment with smaller number of PLW can give you some idea of the situation",null,"PLW may be a problematic to define and identify, SMART surveys provide data for women with children, so definition of lactating should be mothers with infants 0-5 months; caution on excluding women in first pregnancy","Population-based surveys with representative sampling methods (MICS, DHS, SMART) or rapid nutrition assessment","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H1 General clinical services & essential trauma care, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W4 Vector Control"]
["Nutrition","Core - Outcome/Key Contributing Factor","N-007","N1 Prevention and Management of Acute Malnutrition","Childhood stunting","prevalence (%) of stunting in children 0 to 59 months of age based on height-for-age z-score less than -2 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children 0 to 59 months of age surveyed","Number of children 0 to 59 months of age that meet the criteria for stunting","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"WHO TRS 854. Severity classification: 20,30,40 %","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals","Aim should be to assess stunting in the entire age group 0-59 months","Disaggregation by sex and age group should be aimed for and results should be analysed. Note: if surveys being undertaken include 0-59 then use this age group - if not - and the survey is including 6-59 then we may use 6-59. Ideally the Proportion of should be adjusted for 0-59 months)","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, F2 Livelihood Assistance, F3 Food Access, F4 Income Access, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal, W4 Vector Control"]
["Nutrition","Core - Key Contributing Factor","N-030","N2 Infant and Young Child Feeding","Exclusive breastfeeding under 6 months","Proportion of infants 0-5 months of age who are fed exclusively with breast milk","Individual","Percentage","Total number of infants 0 to 5 months of age surveyed","Infants 0 to 5 months of age who received only breast milk during the previous day","Geographical area, sex, age: 0-1, 2-3, 4-5 months if available","Yes","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.1","No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","For Phases III and IV, core WHO indicator should be measured. In Phases 1 and 11, it is not possible to accurately assess the exclusive breastfeeding rate in the population. Baseline information and N-40 (not breastfed) will be key information in Phases I and II.","WHO IYCF core indicator.","For preparatory phase, core WHO indicator should be measured","Attention should be paid on the potential difference in breastfeeding male and female infants. If difference exists, this should inform the nutritional education messages.","Preparatory, Phase III and IV: representative IYCF survey. Phase I and II: use key informant interviews and opportunistic sampling to give an ALERT indication","H2 Child health, H4.2 Maternal and newborn care, (R) Early Recovery"]
["Nutrition","Core - Key Contributing Factor","N-040","N2 Infant and Young Child Feeding","Distribution of infant formula, dried or liquid milk to the affected population","Confirmed distribution of infant formula, dried or liquid milk to the affected population","Individual","Yes/No","N/A","N/A","Geographical area","Yes","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.1","zero tolerance","Phases 1,11, 111 and IV.","This is an alert to problems. Any general distribution of these products to the affected population is a concern as there is a risk of spill over to infants and young children.",null,null,"Key informant interviews (include logistics and any agencies involved in distribution, as well as health and nutrition staff and caregivers). Distribution reports. Observations.","H2 Child health, H4.2 Maternal and newborn care"]
["Nutrition","Core - Key Contributing Factor","N-041","N2 Infant and Young Child Feeding","Inappropriate distribution of infant formula, dried or liquid milk to children 0-<2 years","Confirmed distribution of infant formula, dried or liquid milk to children 0-< 2 years","Community","Yes/No","N/A","N/A","Geographical area","Yes","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.1","zero tolerance","Phases 1,11, 111 and IV.","This is an alert to problems. Inappropriate distribution is where distribution is not in accordance with the Operational Guidance on IFE in meeting criteria for assessment of need, skilled support available, guaranteed continuity of supplies, individual follow up, availability of storage and preparation facilities, appropriate labelling, and monitoring for spill over to breastfed infants.",null,null,"Key informant interviews (include logistics and any agencies involved in distribution, as well as health and nutrition staff and caregivers). Distribution reports. Observations.","H2 Child health, H4.2 Maternal and newborn care"]
["Nutrition","Core - Key Contributing Factor","N-035","N2 Infant and Young Child Feeding","Minimum dietary diversity","Proportion of children 6-23 months of age who receive foods from 4 or more food groups","Individual","Percentage","Total number of children 6-23 months surveyed","Number of children 6-23 months who receive food from 4 or more food groups","Geographical area, sex","No","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.2","No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","preparatory; Phase III and IV","This indicator is adapted from the WHO IYCF core indicator for children 6-23 months.",null,"Data should be compared by sex in order to identify any specific limitation girls or boys might face in accessing dietary diversity. In case there is an important difference, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs (i.e. food taboos) that might differently impact on girls' and boys' dietary diversity.","representative IYCF survey","F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health"]
["Nutrition","Core - Key Contributing Factor","N-037","N2 Infant and Young Child Feeding","Minimum acceptable diet","Proportion of children 6-23 months of age who receive a minimum acceptable diet (apart from breast milk)","Individual","Percentage","Total number of children 6-23 months surveyed","Number of children 6-23 months who receive a minimum acceptable diet","Geographical area, sex","Yes","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.2","No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","preparatory; Phase III and IV","WHO IYCF core indicator",null,null,"representative IYCF survey","F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health"]
["Nutrition","Core - Key Contributing Factor","N-024","N3 Prevention and Control of Micronutrients Deficiencies","Prevalence of anaemia","Proportion of children below five years of age with Hb concentration of <11 g/dL ","Individual","Percentage","Total number of children below five years of age surveyed ","Number of children below five years of age with Hb concentration of <11 g/dL ","Geographical area","No","Baseline, Outcome","Yes","Food Security and Nutrition 4.1.0","Public Health Significance: <4.9Proportion of Normal/Adequate; 5-19.9Proportion of Low; 20-39.9Proportion of Medium; >40Proportion of High (ref: WHO 2001).","Preparatory","The finger-prick blood sample test is easy to administer in the field. The test could be easily integrated in regular health or prenatal visit to capture all women in reproductive ages. Cost of equipment may be prohibitive",null,"WHO guideline: who.int/indicators/haemolobin.pdf;","primary data - National Surveys, Local studies, DHS, MICS; secondary data - VMNIS","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care, H5 Non communicable diseases and mental health"]
["Nutrition","Core - Key Contributing Factor","N-025","N3 Prevention and Control of Micronutrients Deficiencies","Prevalence of anaemia","Proportion of PW with Hb concentration of <11 g/dL ","Individual","Percentage","Total number of pregnant women surveyed","Number of pregnant women with anaemia (Hb<11g/dl for pregnant women)","Geographical area","No","Baseline, Outcome","Yes","Food Security and Nutrition 4.1.1","Public Health Significance: <4.9Proportion of Normal/Adequate; 5-19.9Proportion of Low; 20-39.9Proportion of Medium; >40Proportion of High (ref: WHO 2001).","Preparatory","The finger-prick blood sample test is easy to administer in the field. The test could be easily integrated in regular health or prenatal visit to capture all women in reproductive ages. Cost of equipment may be prohibitive",null,"WHO guideline: who.int/indicators/haemolobin.pdf;","primary data - National Surveys, Local studies, DHS, MICS; secondary data - VMNIS","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care, H5 Non communicable diseases and mental health"]
["Nutrition","Core - Contextual Factor","N-001","N4 Prevention and Management of Double Burden of Malnutrition","Prevalence of overweight","prevalence (%) of overweight in children 6 to 59 months of age based on weight-for-height z-score more than 2 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children aged 6-59 months surveyed","Number of children aged 6-59 months that meet the criteria for overweight","Geographical area, age, sex","Yes","Baseline, Outcome","Yes",null,"WHO TRS 854. Severity classification: 5,10, 15%",null,"Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,null,"Population-based surveys with representative sampling methods (MICS, DHS, SMART)"]
["Nutrition","Core - Contextual Factor","N-015","N1 Prevention and Management of Acute Malnutrition","Acute malnutrition for older people","prevalence (%) of older people with a MUAC below 210mm or having bilateral pitting oedema","Individual","Percentage","Total number of older people surveyed","Number of older people that meet the criteria for acute malnutrition","Geographical area, sex: in preparatory, Phase III and IV, disaggregate by severity (<185mm and between 185 and 209mm)","Yes","Baseline, Outcome","Yes",null,"MUAC >210mm: no malnutrition; MAM: MUAC <210mm SAM: MUAC<185mm or oedema (Help Age guidelines 2013)","In preparatory phase as well as phases I and II: use rapid assessment methods In phases III and IV, organize surveys with larger samples or use rapid assessment method, with multi-indicator questionnaire","Rapid assessment methods can be used at any phase. The questionnaire should include questions about socio-economic status, health, household food security, water and sanitation.","In preparatory phase,: Collect baseline demographic data about the percentage of people 50 and above (or 60 and above) disaggregated by sex and by age groups of 5 years (50-59, 60-64, 65-69, 70-74, 75-80, 80 and above) Assess household food security Organize focus group discussions with older people to have an idea of their access to food.","older people are defined as \"people aged 60 and above\" (UN definition), but in some contexts (e.g. Somali, Ethiopia, Sudan etc.), can be 50 and above (as people are considered \"old\" from this age); Note: Nutritional oedema in older people may be difficult to distinguish from other types of oedema, so suggestion to separate BMI and oedema cases if necessary. Data on acute malnutrition rate should be compared by sex in order to identify any specific discrimination elderly women and elderly men might face in accessing nutrition. In case there is an important difference between the percentage of elderly women and the percentage of elderly men suffering from acute malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs as well as on the social and family support networks available to them that might differ, hence impacting differently their nutritional well being.","surveys: rapid assessments","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H3 Communicable diseases, W1 Hygiene Promotion, W2 Water Supply, W4 Vector Control"]
["Nutrition","Core - Contextual Factor","N-014","N1 Prevention and Management of Acute Malnutrition","Undernutrition for 5 to 19 year olds","prevalence (%) of children and adolescents 5-19 years of age with Z-scores defined as BMI-for-age index less than -2 standard deviations from the median BMI of a reference population of children/adolescents of the same age and/or having bilateral pitting oedema","Individual","Percentage","Total number of children and adolescents 5-19 years surveyed","Number of children and adolescents 5-19 years that meet the criteria for undernutrition","Geographical area, sex","No","Baseline, Outcome","Yes",null,"WHO Reference 2007 www.who.int/growthref.","Preparatory and phase iv and beyond","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,"Particularly important for adolescent girls. Data on the undernutrition rate should be compared by sex in order to identify any specific discrimination girls, boys, adolescent girls and adolescent boys might face in accessing nutrition. In case there is an important difference between the percentage of girls and the percentage of boys suffering from undernutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs that might differently impact on girls' and boys' nutritional well being. Note: the indicator includes 5.0 to 19.0 years. Based on WHO 2007 reference population",null,"F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H3 Communicable diseases, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W4 Vector Control"]
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["ADDITIONAL INDICATORS TO BE CONSIDERED GIVEN THE HUMANITARIAN CONTEXT"]
["Nutrition","Non-core","N-031","N2 Infant and Young Child Feeding","Continued breastfeeding at one year and at 2 years","Proportion of children 12-15 months of age and 20-23 months of age who are fed breast milk","Individual","Percentage","Total number of infants 12-15 months of age and total number of infants 20-23 months of age surveyed","Infants 12-15 months of age and 20-23 months of age who receive any breast milk","Geographical area","No","Baseline, Outcome","Yes",null,null,"preparatory; Phase III and IV","The WHO IYCF core indicator reports continued breastfeeding at 1 year. In emergencies, it is important to also monitor continued breastfeeding rate at 2 years (WHO IYCF optional indicator) as children 1-2 years are also at significant risk of increased morbidity and mortality if not breastfed in this context.",null,"Attention should be paid on the potential difference in breastfeeding male and female infants. If difference exists, this should inform the nutritional education messages.","representative IYCF survey","H2 Child health, H4.2 Maternal and newborn care, (R) Early Recovery"]
["Nutrition","Non-core","N-032","N2 Infant and Young Child Feeding","Children ever breastfed","Proportion of children born in the last 24 months who were ever breastfed","Individual","Percentage","Total number of infants born in the past 23 months in the surveyed area","Number of infants 0-23 months of age who ever received breast milk","Geographical area","Yes","Baseline, Outcome","Yes",null,"No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","For measurement in Phases 1-IV, an adapted indicator should be used where the denominator should be infants born since onset of the emergency. In phases 1 and 2, opportunistic sampling will be necessary, e.g. piggy backed onto reproductive health sampling or anthropometric screening or food security assessment.","WHO IYCF core indicator.","For preparatory phase, the core WHO Indicator should be used as a baseline where the denominator is infants born in the last 24 months.",null,"Preparatory, Phase III and IV: representative IYCF survey. Phase I and II: use key informant interviews and opportunistic sampling to give an ALERT indication","H2 Child health, H4.2 Maternal and newborn care, (R) Early Recovery"]
["Nutrition","Non-core","N-033","N2 Infant and Young Child Feeding","Predominant breastfeeding under 6 months","Proportion of infants 0-5 months of age who are predominantly breastfed","Individual","Percentage","Total number of infants 0 to 5 months of age surveyed","Number of infants 0-5 months of age who are predominantly breastfed","Geographical area, sex","No","Baseline","No",null,"No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","preparatory; Phase III and IV","WHO IYCF optional indicator",null,"Attention should be paid on the potential difference in breastfeeding male and female infants. If difference exists, this should inform the nutritional education messages.","representative IYCF survey","H2 Child health, H4.2 Maternal and newborn care, (R) Early Recovery"]
["Nutrition","Non-core","N-034","N2 Infant and Young Child Feeding","Bottle feeding","Proportion of children 0-23 months of age who are fed with a bottle","Individual","Percentage","Total number of infants 0-23 months surveyed","Number of infants 0-23 months who are fed with a bottle","Geographical area, sex","Yes","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.4",null,"preparatory; Phases I, II, III and IV","WHO IYCF optional indicator. This indicator determines the use of bottles which carry risk; is not an indicator of use of infant formula or breast milk substitutes, since it records any item fed using a bottle including breast milk, water, semi-solids, etc.).",null,null,"Preparatory, Phase III and IV: representative IYCF survey. Phase I and II use key informant interviews and opportunistic sampling to give an ALERT indication","H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply"]
["Nutrition","Non-core","N-026","N3 Prevention and Control of Micronutrients Deficiencies","prevalence of iodine deficiency","Median urinary iodine concentration (?g/L) in children aged 6-12 years ","Individual","Percentage","Total number of children aged 6- 12 years surveyed","Median urinary iodine concentration (?g/L) in children aged 6-12 years","Geographical area, age","Yes","Baseline","No","Food Security and Nutrition 4.1.1","For children under-5, Public Health significance if <100µg/l but I don't know for children 6-12 years of age (ref: WHO, UNICEF, ICCIDD 2007)","Preparatory","A median urinary iodine concentration in a population of < 100 ?g/l indicates that the iodine intake is insufficient. A non-invasive method of measurement, the cost of spoturine samples tests is affordable. School age children 6-12 years can be easily tested in population-based surveys.",null,"WHO guideline: apps.who.int/iris/bitstream/10665/85972/1/WHO_NMH_NHD_EPG_13.1_eng.pdf; According to WHO ideally one should also assess PLW","primary data - National Surveys, Local studies; secondary data - VMNIS","F1 Food Assistance, F6 Availability, H2 Child health, H4.2 Maternal and newborn care, H5 Non communicable diseases and mental health"]
["Nutrition","Non-core","N-027","N1 Prevention and Management of Acute Malnutrition","Child morbidity","Proportion of children 0-59 months whose caregiver reported an illness in the previous 2 weeks","Individual","Percentage","Total number of children 0 to 59 months of age surveyed","Number of children 0-59 months whose caregiver reported an illness in the previous 2 weeks","Geographical area","Yes","Baseline","No",null,"No threshold","preparatory; Phase I and II; Phase II and IV","survey data",null,"This information may be available through the Health Cluster, but nutrition surveys may provide updated representative information","SMART surveys, Disease early warning systems","H1 General clinical services & essential trauma care, H2 Child health, H3 Communicable diseases, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Non-core","N-028","N1 Prevention and Management of Acute Malnutrition","Under-five mortality","The rate of death among children below of 5 years of age in the population","Individual","death per 10,000 children under 5 years/day","Total number of children under 5 years multiple by number of days in time period over 10,000 persons","Total number of death in children under 5 years during time period","Geographical area","Yes","Baseline","No","Health Action 2.2.1","See Sphere (http://www.spherehandbook.org/en/essential-health-services-standard-1-prioritising-health-services/) for emergency thresholds for different regions. When the baseline rate is unknown or of doubtful validity, agencies should aim to maintain the U5MR at least below 2.0/10,000/day","preparatory; Phases I, II III and IV","Under-five mortality rate as defined here is strictly speaking not a rate (i.e. the number of deaths divided by the number of population at risk during a certain period of time) but a probability of death derived from a life table and expressed as rate per 1000 live births",null,"These data should be taken from Health Cluster or specific mortality surveys, representative surveys, A proxy can be calculated through health facilities and community records in early phases of emergency. Under-five mortality rate measures child survival. It also reflects the social, economic and environmental conditions in which children (and others in society) live, including their health care. Because data on the incidences and prevalence of diseases (morbidity data) frequently are unavailable, mortality rates are often used to identify vulnerable populations. Under-five mortality rate is an MDG indicator","Representative survey and or from health facility / community records","H1 General clinical services & essential trauma care, H2 Child health, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Non-core","N-002","N1 Prevention and Management of Acute Malnutrition","Acute malnutrition in infants less than 6 months","prevalence (%) of global acute malnutrition in infants less than 6 months of age based on presence of bilateral pitting oedema and /or weight-for-height z-score less than -2 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children less than 6 months surveyed","Number of infants 0-5 months that meet the criteria for global acute malnutrition","Geographical area, sex","Yes","Baseline, Outcome","Yes",null,"WHO TRS 854. Severity classification: 5,10, 15%","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,"Note that WFH and MUAC do not measure the same things and are not comparable. Data on the acute malnutrition rate should be compared by sex in order to identify any specific discrimination baby girls or baby boys might face in accessing nutrition. In case there is an important difference between the percentage of infant girls and the percentage of infant boys suffering from malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs on breastfeeding that might differently impact on baby girls' and baby boys' nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Non-core","N-006","N1 Prevention and Management of Acute Malnutrition","Moderate acute malnutrition (MAM) in infants 0-5 months","prevalence (%) of moderate acute malnutrition in infants less than 6 months of age based on weight-for-height z-score less than -2 and equal or greater than -3 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children less than 6 months surveyed","Number of infants less than 6 months that meet the criteria for moderate acute malnutrition","Geographical area, sex","Yes","Baseline, Outcome","Yes",null,"No standard WHO thresholds; this indicator cut-off should be interpreted in consideration of other indicators including morbidity, mortality and proportion of GAM","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals","Prevalence easy to derive by subtracting Proportion of SAM from Proportion of GAM","Note that WFH and MUAC do not measure the same things and are not comparable. Data on the moderate acute malnutrition rate should be compared by sex in order to identify any specific discrimination baby girls or baby boys might face in accessing nutrition. In case there is an important difference between the percentage of infant girls and the percentage of infant boys suffering from malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs on breastfeeding that might differently impact on baby girls' and baby boys' nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Non-core","N-004","N1 Prevention and Management of Acute Malnutrition","Severe acute malnutrition (SAM) in infants 0-5 months","prevalence (%) of severe acute malnutrition in infants less than 6 months of age based on presence of bilateral pitting oedema and weight-for-height z-score less than -3 standard deviations of the median of the standard population (WHO 2006)","Individual","Percentage","Total number of children 0-5 months surveyed","Number of infants 0-5 months that meet the criteria for severe acute malnutrition","Geographical area, sex","Yes","Baseline, Outcome","Yes",null,"No standard WHO thresholds; this indicator cut-off should be interpreted in consideration of other indicators including morbidity, mortality and proportion of GAM; Reference: WHO child growth standards and the identification of severe acute malnutrition in infants and children. A Joint Statement by the World Health Organization and the United Nations Children's Fund, 2009.","preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,"Note that WFH and MUAC do not measure the same things and are not comparable. Data on the severe acute malnutrition rate should be compared by sex in order to identify any specific discrimination baby girls or baby boys might face in accessing nutrition. In case there is an important difference between the percentage of infant girls and the percentage of infant boys suffering from malnutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs on breastfeeding that might differently impact on baby girls' and baby boys' nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, H1 General clinical services & essential trauma care, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Non-core","N-012","N1 Prevention and Management of Acute Malnutrition","Stunting in women of reproductive age","prevalence (%) of women 15-49 years old who have height less than 145 cm","Individual","Percentage","Total number of women 15-49 years surveyed","Number of women 15-49 years that meet the criteria for stunting","Geographical area","No","Baseline, Outcome","Yes",null,null,"preparatory; Phase III and IV","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,null,"Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H1 General clinical services & essential trauma care, H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W4 Vector Control"]
["Nutrition","Non-core","N-013","N1 Prevention and Management of Acute Malnutrition","Undernutrition for adults","prevalence (%) of adults aged 19.1 to 59.9 years old with BMI less than 17.00 kg/m2 and/or having bilateral pitting oedema","Individual","Percentage","Total number of adults aged 19.1 to 59.9 years old surveyed","Number of adults aged 19.1 to 59.9 years old that meet the criteria for undernutrition","Geographical area, age, sex","No","Baseline, Outcome","Yes",null,"WHO TRS 854 classification: mild thinness (BMI = 17.00-18.49 kg/m2), moderate thinness (BMI = 16.00-16.99 kg/m2), and severe thinness (BMI < 16.00 kg/m2).","Preparatory and phase IV and beyond","Should be based on a methodologically solid anthropometric nutrition survey finding and include Confidence Intervals",null,"Anthropometric data should be interpreted with a contextual analysis of the associated nutritional risks for the population using underlying causes. In particular, data on the undernutrition rate should be compared by sex in order to identify any specific discrimination adult women or adult men might face in accessing nutrition. In case there is an important difference between the percentage of women and the percentage of men suffering from undernutrition, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs that might differently impact their nutritional well being.","Population-based surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H3 Communicable diseases, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply, W4 Vector Control"]
["Nutrition","Non-core","N-016","N1 Prevention and Management of Acute Malnutrition","Minimum meal frequency for children 24-59 months","Proportion of children 24-59 months who are eating 3 meals a day or more","Individual","Percentage","Total number of children 24-59 months surveyed","Number of children 24-59 months who are eating 3 meals a day or more","Geographical area, age, sex","No","Baseline","No",null,null,"preparatory; Phase I and II; Phase II and IV","Use 6-23 months age group indicator as proxy for 24-59 months, and assume older age group is worse off CAN be an important ALERT indicator in early phases of an emergency",null,"Indicator used for IYCF for 6-23 month age group based on WHO indicator.","surveys; rapid assessments;","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care"]
["Nutrition","Non-core","N-019","N3 Prevention and Control of Micronutrients Deficiencies","level of risk to common micronutrient deficiencies (high, medium, low)","Qualitative assessment of nutritional risk of common micronutrient deficiencies (anaemia, iodine deficiency, vitamin A deficiency (night blindness), scurvy, beri beri, vitamin D deficiency) based on composite indicator analysis on prevalences, diet analysis, water quality and diarrheal disease, case finding","Community","high, medium, low","N/A","N/A","By deficiency; geographical area, sex, potentially vulnerable groups: PLW, children 6-59 months, other potentially vulnerable groups","Yes","Baseline","No",null,"SPHERE 2011, appendix 5 - thresholds (http://www.spherehandbook.org/en/appendix-15/)","Preparatory; Phase II, III, IV","List prevalences for micronutrient status known for any vitamins and minerals and collect additional information on diet, water quality and disease, to assess the severity of the risk for specific population groups",null,null,"use survey data ; estimate from numbers of affected population by type of vulnerable groups","F1 Food Assistance, F2 Livelihood Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H1 General clinical services & essential trauma care, H2 Child health, H5 Non communicable diseases and mental health, (R) Early Recovery, W1 Hygiene Promotion, W2 Water Supply, W3 Excreta Disposal"]
["Nutrition","Non-core","N-020","N3 Prevention and Control of Micronutrients Deficiencies","Vitamin A coverage in children 6--59 months","Proportion of children 6 - 59 months having received vitamin A in previous 6 months","Individual","Percentage","Total number of children 6-59 months surveyed","Number of children 6 - 59 months that received vitamin A in the previous 6 months (mother's recall or card verified)","Geographical area, age (6-11, 12-23 months), sex","Yes","Baseline, Output","Yes","Health Action 2.2.1","Target: 95%. Upon completion of measles vaccination campaign at least 95 per cent of children aged 6–59 months have received an appropriate dose of Vitamin A","preparatory; Phase III and IV",null,null,"The indicator applies for children living in settings where VAD is a public health problem, WHO follows the GAVA recommendation and advocates for two doses in the last year. In case there is an important difference, the programme should address these gaps by undertaking a gender analysis of the specific challenges the disadvantaged group is facing, including an analysis of the socio cultural habits and beliefs that might differently impact on girls' and boys' nutritional well being. Consider the dates of the actual vitamin A supplementation to get an indication of number of children uncovered (0 to 5 months old) and who should be included in the new supplementation programme.","population surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H1 General clinical services & essential trauma care, H2 Child health, H5 Non communicable diseases and mental health"]
["Nutrition","Non-core","N-021","N3 Prevention and Control of Micronutrients Deficiencies","Iron supplementation coverage rate in children","Proportion of children 6-59 months of age receiving micronutrient supplements that contain adequate iron","Individual","Percentage","Total number of children 6-59 months surveyed","Number of children 6-59 months who received micronutrient supplements with adequate iron in/with one of their meals the previous day","Geographical area, age (6-24, 24-59 months), sex","No","Baseline, Output","Yes","Food Security and Nutrition 4.1.1",null,"preparatory; Phase III and IV",null,null,null,"population surveys with representative sampling methods (MICS, DHS, SMART)","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H1 General clinical services & essential trauma care, H2 Child health, H5 Non communicable diseases and mental health"]
["Nutrition","Non-core","N-022","N3 Prevention and Control of Micronutrients Deficiencies","Iron-folic acid supplementation in pregnant women","Proportion of pregnant women having received iron-folic acid contained supplementation daily in previous 6 months/during pregnancy","Individual","Percentage","Total number of pregnant women surveyed","Number of pregnant women who bought or received iron-folic acid contained supplementation daily in the previous 6 months during pregnancy","Geographical area","Yes","Baseline, Output","Yes","Food Security and Nutrition 4.1.1",null,"preparatory; Phase III and IV","In some countries iron-folic acid supplements are replaced by multiple micronutrients, therefore depending on the situation the indicator should be changed to \"received iron-folic acid supplements \"or \"received multiple micronutrient supplements\"",null,null,"Population survey with representative sampling methods (eg, MICS, DHA, SMART)","F1 Food Assistance, F3 Food Access, F6 Availability, H1 General clinical services & essential trauma care, H2 Child health, H4.2 Maternal and newborn care"]
["Nutrition","Non-core","N-023","N3 Prevention and Control of Micronutrients Deficiencies","Iodized salt consumption","Proportion households using adequately iodized salt in previous 6 months","Households","Percentage","Total number of households surveyed","Number of households using adequately iodized salt (20-40 ppm) in previous 6 months","Geographical area","No","Baseline, Output","No","Food Security and Nutrition 4.1.1","Indicator should be equal to or greater than 90Proportion of(reference?) -Number of households using adequately iodized salt (20-40 ppm) in previous 6 months","preparatory; Phase III and IV","Adequately iodized salt is salt containing 15 to 40 ppm of iodine at the household level. Reference: Assessment of iodine deficiency disorders and monitoring their elimination : a guide for programme managers. 3rd edition WHO, 2008",null,"Use of \"using\" rather than \"having regularly consumed in previous 6 months\" based on recommended assessment methods, which is measuring iodine level in salt in households at a time of assessment and not collecting retrospective data (as the level of iodine in salt consumed cannot be assessed and many people do not know if salt is / was iodized). Alternative formulation: \"Proportion of households using adequately iodized salt\" - see reference. Apparently not a food security indicator;",null,"F1 Food Assistance, F6 Availability, H2 Child health, H5 Non communicable diseases and mental health"]
["Nutrition","Non-core","N-024","N3 Prevention and Control of Micronutrients Deficiencies","Prevalence of vitamin A deficiency","(1)Proportion of children below five years of age with sub-clinical vitamin A deficiency (2) Proportion of women of reproductive age with clinical vitamin A deficiency","Individual","Percentage","Total number of children below five years of age surveyed or Total number of women of reproductive age surveyed","Number of children below five years of age with vitamin A deficiency (serum retinol values <0.70µmol/l) or Proportion of women of reproductive age or 15-49 years of age) with Vitamin A deficiency (serum retinol values<0.70µmol/l)","Geographical area, boys and girls 0-59 months, women of reproductive age","Yes","Baseline","No","Food Security and Nutrition 4.1.1","Public Health Significance: <2Proportion of normal; 2-9.9Proportion of Low; 10-19.9Proportion of Medium; >20Proportion of High (ref: WHO 1996)","Preparatory","FOR CHILDREN - Serum or plasma retinol levels measured in capillary or venous samples is an invasive test that is expensive if HPLC is used. Newer methods for dry blood spots with the capillary method are emerging. FOR WOMEN - Information can be ascertained verbally. Since the question is targeted at a specific subset of women, the indicator fails to capture the full range of women of reproductive ages. There is a need to standardize the phrasing of the question.",null,"WHO guideline: who.int/vmnis/retinol.pdf","primary data - National Surveys, Local studies, DHS, MICS; secondary data - VMNIS","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care, H5 Non communicable diseases and mental health"]
["Nutrition","Non-core","N-018","N3 Prevention and Control of Micronutrients Deficiencies","Minimum dietary diversity for children 24-59 months","Proportion of children 24-59 months who receive foods from 4 or more food groups","Individual","Percentage","Total number of children 24-59 months surveyed","Number of children 24-59 months who receive from 4 or more of the following food groups.","Geographical area, age, sex","No","Baseline","No","Food Security and Nutrition 4.1.1","No standard identified, only WHO source indicator","preparatory; Phase I and II; Phase II and IV","Use 6-23 months age group indicator as proxy for 24-59 months, and assume older age group is worse off - CAN be an important ALERT indicator in early phases of an emergency (WHO uses a parameter of previous 24 hours). Food groups defined as follows: (1) grains, roots and tubers (2) legumes and nuts (3) dairy products (milk, yogurt, cheese) (4) flesh foods (meat, fish, poultry and liver/organ meats) (5) eggs (6) vitamin-A rich fruits and vegetables (7) other fruits and vegetables",null,"Indicator used for IYCF for 6-23 month age group based on WHO indicator","surveys; rapid assessments;","F1 Food Assistance, F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health, H4.2 Maternal and newborn care"]
["Nutrition","Non-core","N-029","N2 Infant and Young Child Feeding","Early initiation of breastfeeding","Proportion of children 0-23 months who were put to the breast within one hour of birth.","Individual","Percentage","Total number of women with a live birth in the X years prior to the survey","Number of women with a live birth in the X years prior to the survey who put the newborn infant to the breast within one hour of birth","Geographical area, sex","No","Baseline","No","Food Security and Nutrition 4.2.1","No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","For Phases III-IV, an adapted indicator should be used where the same methodology is used but the denominator is infants born since onset of the emergency. (Proportion of children born since the onset of the emergency who were put to the breastfed within one hour of birth). In Phase 1 and 11, the denominator used should be infants born since onset of the emergency. In these phases opportunistic sampling will be necessary, e.g. at facilities providing obstetric services/newborn support.","WHO IYCF core indicator.","For preparatory phase, the WHO core indicator should be used as a baseline where the denominator is children born in the last 24 months (Proportion of children born in the last 24 months who were put to the breastfed within one hour of birth).","Note: DHS data are based on the three years or five years prior to survey and MICS data are based on the two years prior to survey","Preparatory, Phase III and IV: representative IYCF survey. Phase I and II: use key informant interviews and opportunistic sampling to give an ALERT indication","H2 Child health, H4.2 Maternal and newborn care, (R) Early Recovery"]
["Nutrition","Non-core","N-036","N2 Infant and Young Child Feeding","Minimum meal frequency","Proportion of children 6-23 months who received solid, semi-solid or soft foods the minimum number of times or more.","Individual","Percentage","Total number of children 6-23 months surveyed","Number of children 6-23 months who received solid, semi-solid or soft foods for the minimum number of times or more","Geographical area, sex","No","Baseline, Outcome","Yes","Food Security and Nutrition 4.2.2","No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","preparatory; Phase III and IV","WHO IYCF core indicator",null,null,"representative IYCF survey","F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health"]
["Nutrition","Non-core","N-038","N2 Infant and Young Child Feeding","Introduction of solid, semi-solid or soft food","Proportion of children 6-8 months of age who received solid, semi-solid or soft foods during the previous day","Individual","Percentage","Total number of infants 5-8 months surveyed","Number of infants 5-8 months who received solid, semi-solid or soft foods during the previous day","Geographical area, sex","No","Baseline, Outcome","Yes",null,"No standard; < 80Proportion of is generally a priority. Discuss high, medium and low designations as a group","preparatory; Phase III and IV","WHO IYCF core indicator. Need guidance on sample size",null,null,"representative IYCF survey","F3 Food Access, F4 Income Access, F5 Market Access, F6 Availability, F7 Utilization, H2 Child health"]
["Nutrition","Non-core","N-039","N2 Infant and Young Child Feeding","Not breastfed","Proportion of infants 0<12 months and 12<24 months not breastfed","Individual","Percentage","Total number of children 0<12 months and 12<24 months surveyed","Number of infants 0-12 months and 12-24 months not breastfed","Geographical area; 0-<12 months, 12-<24 months, sex","Yes","Baseline, Outcome","Yes",null,null,"Calculate this indicator based on standardized data collected. In phases 1 and 11, an indication of the proportion of non-breastfed infants should be estimated based on key informant interviews and opportunistic sampling.","This is not a standard indicator. However it is possible to calculate this indicator using standardized data collected to produce WHO IYCF core indicators.","Preparatory: calculate this indicator based on standardized data collected. In phases 1 and 11, an indication of the proportion of non-breastfed infants should be estimated based on key informant interviews and opportunistic sampling.","Need to raise this with WHO to see how we might develop this as a standard indicator to report in emergency prone contexts.","Preparatory, Phases 111 and IV: Indicator produced from data collected from MICS/DHS. Phase I and II will use key informant interviews and opportunistic sampling to give an ALERT indication.","H2 Child health, H4.2 Maternal and newborn care, W1 Hygiene Promotion, W2 Water Supply"]

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["Classification Thresholds for Core Indicators",null,null,null,null,"Severity Scale based on IPC/OCHA phases"]
[null,null,null,"Humanitarian Consequence",null,"Phase 1","Phase 2","Phase 3","Phase 4","Phase 5","Sources"]
["Category","Alignment with IPC AMN framework","Outcome Indicator Name/label","U5 GAM ≥5% \n(Scenarios 1 & 2)","U5 GAM <5% \n(Scenario 3)","Acceptable/ Minimal","Alert/ Stress","Serious/ Severe","Critical/ Extreme","Extremely Critical/ Catastrophic"]
["Primary Outcomes","Acute and chronic malnutrition","Prevalence of Global Acute Malnutrition (GAM) based on weight for height Z-score (WHZ)<-2 and/or bilateral pitting oedema among children 0-59 months (if no data, use 6-59 months)","Physical and Mental Well-being",null,"<5%","5-9.9%","10-14.9%","15-29.9%","≥30%","Based on IPC AM Malnutrition Version 3 Guidance"]
[null,null,"Prevalence of Global Acute Malnutrition (GAM) based on Mid-Upper Arm Circumference (MUAC) <125mm and/or bilateral pitting oedema among children 6-59 months","Physical and Mental Well-being",null,"<5%",null,null,null,null,"Preliminary thresholds suggested by IPC Acute Malnutrition Version 3 guidance "]
[null,null,null,null,null,null,"5-9.9%"]
[null,null,null,null,null,null,null,"10-14.9%"]
[null,null,null,null,null,null,null,null,"≥15%"]
[null,null,"Prevalence of Global Acute Malnutrition (GAM) based on Mid-Upper Arm Circumference (MUAC)<210-230 (depending on the contexts) and/or bilateral pitting oedema among PLW","Physical and Mental Well-being",null,"<12.5%","12.6%-19.9%","20-24.9%","25-34.9%","≥35%","Preliminary thresholds based on Somalia’s Food Security and Nutrition Analysis Unit (FSNAU)"]
[null,null,"Prevalence of stunting based on height-for-age Z-score (HAZ)<-2 among children 0-59 months"," Living Standards","Physical and Mental Well-being","<10%","10-19.9%","20-29.9%","≥30%",null,"De Onis et al (2018) Prevalence thresholds for wasting, overweight, and stunting in children under 5 years"]
["Contextual Factors*\n\n\n\n*optional depending on the humanitarian situation","Other causes","Prevalence of overweight based on weight for height Z-score (WHZ)>2 among children 0-59 months"," Living Standards","Physical and Mental Well-being","<2.5%","2.5-4.9%","5-9.9%","10-14.9%","≥15%","De Onis et al (2018) Prevalence thresholds for wasting, overweight, and stunting in children under 5 years"]
[null,"Acute malnutrition","Prevalence of Global Acute Malnutrition (GAM) based on Mid-Upper Arm Circumference (MUAC)<210mm among Older People","Physical and Mental Well-being",null,"<5%","5-9.9%","10-14.9% OR\n5-9.9%*","≥15% OR\n10-14.9%*",null,"Based on HelpAge’s Nutrition Interventions for Older People in Emergencies"]
[null,null,"Prevalence of Global Acute Malnutrition (GAM) based on BMI-for-Age Z-Score<-2 among Adolescents","Physical and Mental Well-being",null,"<2.5%","2.5-4.9%","5-9.9%","10-14.9%","≥15%","Preliminary thresholds suggested by Taskforce and NISWG"]
[null,"Micronutrient deficiencies","Prevalence of anemia Hb <11g/dl in children 6-59 months","Physical and Mental Well-being",null,"<5%","5-19.9%","20-39.9%","≥40%",null,"WHO (2011) Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity"]
[null,null,"Prevalence of anemia Hb <11g/dl in pregnant women","Physical and Mental Well-being",null,"<5%","5-19.9%","20-39.9%","≥40%",null,"WHO (2011) Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity."]
[null,"Mortality indicators","Crude Death/Mortality Rate (deaths/ 10,000 persons/ day)","Physical and Mental Well-being",null,"<0.5",null,"0.5-0.9","1-1.9","≥2","Based on IPC AM Malnutrition Version 3 Guidance"]
[null,null,"Under-five Death/Mortality Rate (deaths/ 10,000 children U5/ day)","Physical and Mental Well-being",null,"<1",null,"1-1.9","2-3.9","≥4","Based on IPC AM Malnutrition Version 3 Guidance"]
["Key Contributing Factors","Immediate causes \n(Food consumption)","Minimum Dietary Diversity in children 6 to 23 months","Living Standards",null,"≥70%","40-70%","20-40%","10-20%","<10%","Preliminary thresholds suggested by IFE Core Group"]
[null,null,"Minimum Acceptable Diet in children 6 to 23 months*\n\n*Requires Minimum Meal Frequency in children 6-23 months to be derived","Living Standards",null,"≥70%","40-70%","20-40%","10-20%","<10%","Preliminary thresholds suggested by IFE Core Group"]
[null,null,"Exclusive breastfeeding for infants 0-5 months","Living Standards",null,"≥70%","50-70%","30 -50%","11-30%","<11%","Thresholds adapted from UNICEF Breastfeeding score cards"]
[null,"Underlying causes (Caring and feeding practices)","Infants 0-5 months that are not breastfed who have access to Breast Milk Substitutes (BMS)  supplies and support in line with the Code and the IFE OG standards and recommendations","Living Standards",null,"≥60%","40-60%","20-40%","10-20%","<10%","Preliminary thresholds suggested by IFE Core Group"]
[null,null,"Infants 6-11 months that are not breastfed who have access to Breast Milk Substitutes (BMS)  supplies and support in line with the Code and the IFE OG standards and recommendations","Living Standards",null,"≥60%","40-60%","20-40%","10-20%","<10%","Preliminary thresholds suggested by IFE Core Group"]
[null,"Underlying causes \n(WASH)","% of HHs having access to an improved water source","Living Standards",null,"Water comes from an improved water source which is located on premises","Water comes from an improved water source, provided collection time is not more than 30 minutes for a roundtrip, including queuing","Water comes from an improved source for which collection time exceeds 30 minutes for a roundtrip, including queuing","Water comes from an unimproved water source","Water comes directly from rivers, lakes, ponds, etc.","Corresponds to the majority percentage of answer choices in WASH specific assessments/ MSNA/ DTM suggested by WASH colleagues for Joint Inter-sectoral Analysis Framework (JIAF) – see Limitations p.3 of the guidance.  Please liaise with local Global WASH Cluster colleagues if using this indicator in the contributing factor analysis"]
[null,null,"% of HHs having access to a sufficient quantity of water for drinking, cooking, bathing, washing or other domestic use","Living standards",null,"Enough water for drinking, cooking, personal hygiene and other domestic purposes OR more than 50 l/d/p","Enough water for drinking AND cooking AND personal hygiene, BUT NOT for other domestic purposes OR 15 or more but less than 50 l/d/p","Enough water for drinking AND EITHER cooking OR personal hygiene OR 9 or more but less than 15 l/d/p","Enough water for drinking BUT NOT for cooking AND personal hygiene OR 3 or more but less than 9 l/d/p","Not enough water for drinking OR Less than 3 l/d/p","Corresponds to the majority percentage of answer choices in WASH specific assessments/ MSNA/ DTM suggested by WASH colleagues for Joint Inter-sectoral Analysis Framework (JIAF) – see Limitations p.3 of the guidance.  Please liaise with local Global WASH Cluster colleagues if using this indicator in the contributing factor analysis"]
[null,null,"% of HHs having access to a functionnal and improved sanitation facility","Living standards",null,"Access to improved sanitation facilities, not shared with other households","Access to improved sanitation facilities, shared with less than 20 people","Access to improved sanitation facilities, shared with more than 20 people","Access to unimproved facilities OR access to improved facilities shared with more than 50 people","Disposal of human faeces in open spaces or with solid waste","Corresponds to the majority percentage of answer choices in WASH specific assessments/ MSNA/ DTM suggested by WASH colleagues for Joint Inter-sectoral Analysis Framework (JIAF) – see Limitations p.3 of the guidance.  Please liaise with local Global WASH Cluster colleagues if using this indicator in the contributing factor analysis"]
[null,null,"% of HHs with access to functioning handwashing facilities, with water and soap available or % of HHs with access to soap","Living standards",null,"Soap is available at home AND handwashing facility is on premises with soap and water available",null,"Soap is available at home BUT no handwashing facility on premises with soap and water",null,"Soap is not available at home","Corresponds to the majority percentage of answer choices in WASH specific assessments/ MSNA/ DTM suggested by WASH colleagues for Joint Inter-sectoral Analysis Framework (JIAF) – see Limitations p.3 of the guidance.  Please liaise with local Global WASH Cluster colleagues if using this indicator in the contributing factor analysis"]
[null,"Underlying causes (Immunization)","Coverage of DTC3 (DPT3 / PENTA3) in < 1 year old, by administrative unit (%)","Physical and Mental Well-being",null,"> 90%","85% - 90%","75% - 85%","65% - 75%","< 65%","This data may be available through projections, but if so, the quality of the data should be checked and noted.\nIn some surveys data is collected from children aged 12-23 months. Please be sure to reference the age range that is the focus of the data. Only the first threshold has been tested and has evidence behind it. The others have been arbitrarily selected and should not be considered accurate measures at this stage"]
[null,null,"Routine measles vaccination coverage (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Routine polio vaccination coverage (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Routine Vitamin A supplementation coverage (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Campaign measles vaccination coverage (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Campaign polio vaccination coverage (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Campaign Vitamin A supplementation coverage (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Measles vaccination coverage from surveys (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Polio vaccination coverage from surveys (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Vitamin A supplementation coverage from surveys (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Coverage of all basic vaccinations from surveys (%)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Percentage of children aged six months to 15 years who have received measles vaccination","Physical and Mental Well-being",null,">95% in camps /urban areas\n>90% in scattered or rural areas","<94-85% urban and camps\n\n<89 - 84% in scattered or rural areas","75% - 85%","65% - 75%","<65%","This indicator is used to estimate vaccine coverage of the total EPI strategy. To avoid overestimation, measles vaccination coverage is used as proxy since it is usually lower than DPT3 coverage. Both indicators should be calculated on a yearly basis and can provide good indication of health system performance.\nIt is necessary to assess the quality of the available data. Only the first threshold has been tested and has evidence behind it. The others have been arbitrarily selected and should not be considered accurate measures at this stage"]
[null,"Immediate Causes \n(Health status)","Number of cases or incidence rates for selected diseases relevant to the local context (cholera, measles, acute meningitis, others)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"This indicator is primarily a country-level measurement and cannot be easily aggregated for use at higher levels. The list of diseases is context specific. Data collection can be problematic as health facility surveillance may have low sensitivity for conditions that do not commonly go to clinic. Access to health services is another factor. Please liaise with local GHC colleagues if using this indicator in the contributing factor analysis"]
[null,null,"Case Fatality Ratio (CFR) for most common diseases","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Mixture of disease severity and of quality of health care. Most likely will be biased upwards because only more severe cases normally go to clinic. This indicator is primarily a country-level measurement and cannot be easily aggregated for use at higher levels. The list of diseases is context specific. Data collection can be problematic as health facility surveillance may have low sensitivity for conditions that do not commonly go to clinic. Access to health services is another factor. Please liaise with local GHC colleagues if using this indicator in the contributing factor analysis"]
[null,null,"Proportion of children U5 with diarrhea in the last two weeks","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Prevalence of HIV/AIDS ","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Proportion of children U5 with fever in malaria-risk areas","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Proportion of children U5 who had Acute Respiratory Infections (ARI) in the last 2 weeks","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Number of reported cases of cholera or Acute Watery Diarrhea (AWD)","Physical and Mental Well-being",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,"Underlying causes (Availability of and access to health services)","Percentage of healthcare facilities that deliver essential package of health services (including nutrition)","Living Standards",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. The ‘essential package of health services’ must be defined to use this indicator.  Use the minimum package of services that has been agreed at country level."]
[null,null,"Health-seeking behaviour from population-based surveys","Living Standards",null,"No thresholds proposed",null,null,null,null,"Not from the official GHC list of ‘core’ health indicators. Use of consensus and expert judgement based on country-level experts for the analysis of contributing factors"]
[null,null,"Percentage of population that can access primary healthcare within one hour’s walk from dwellings","Living Standards",null,"≥ 80%","75% - 80%","70% - 75%","65% - 70%","< 65%","As per JIAF guidance. Only the first threshold has been tested and has evidence behind it. The others have been arbitrarily selected and should not be considered accurate measures at this stage"]
[null,null,"Number of HF with Basic Emergency Obstetric Care/ 500,000 population, by administrative unit","Living Standards",null,"4+","3--4","2--3","1--2","< 1","As per JIAF guidance. Proxy indicators for the physical availability and geographical accessibility of emergency obstetric services and their distribution across districts in the affected areas. An unbalance between the availability of BEmOC and CEmOC (with too few BEmOC) is often observed. Only the first threshold has been tested and has evidence behind it. The others have been arbitrarily selected and should not be considered accurate measures at this stage"]
[null,null,"Number of skilled birth attendant personnel (doctors, nurses, certified midwives) per 10,000 people","Living Standards",null,">= 23",">= 20",">= 17",">= 14",">= 11","As per JIAF guidance. Only the first threshold has been tested and has evidence behind it. The others have been arbitrarily selected and should not be considered accurate measures at this stage"]
[null,"Immediate causes \n(Food consumption)","PRIORITY: Food Security Cluster/Sector Analysis","Living Standards",null,1,2,3,4,5,"To align with the final analysis in terms of phases provided by the in-country Food security colleagues or IPC Acute Food Security Analysis"]
[null,null,"Food Consumption Score","Living Standards",null,"Acceptable and stable","Acceptable but deterioration from typical","Borderline","Poor","Poor","As per JIAF guidance. Please liaise with local GFSC colleagues if using this indicator in the contributing factor analysis - see Limitations on Instructions spreadsheet."]
[null,null,"Household Hunger Scale","Living Standards",null,"0 (none)","1 (slight)","2 or 3 (moderate)","4 (severe)","5 or 6 (severe)","As per JIAF guidance. Please liaise with local GFSC colleagues if using this indicator in the contributing factor analysis - see Limitations on Instructions spreadsheet."]
[null,null,"Reduced Coping Strategies Index","Living Standards",null,"0 to 3","4 to 18","≥ 19","≥ 19","≥ 19","As per JIAF guidance. Please liaise with local GFSC colleagues if using this indicator in the contributing factor analysis - see Limitations on Instructions spreadsheet."]
[null,null,"Household Dietary Diversity Score","Living Standards",null,"5-12 food groups and stable","5-FG but deterioration ≥1 FG from typical","3-4 FG","0-2 FG","0-2 FG","As per JIAF guidance. Please liaise with local GFSC colleagues if using this indicator in the contributing factor analysis - see Limitations on Instructions spreadsheet."]

{"sheet":"Evidence Repository,Reliability","index":3,"n_rows":52,"n_cols":11,"rows_kept":52,"cut":false,"hidden":false,"merged":[[47,0,51,0],[2,10,3,10],[0,6,0,9],[0,0,0,1],[1,2,1,5],[4,0,14,0],[15,0,18,0],[19,0,22,0],[23,0,46,0]]}
["Repository and reliability of Evidence Used",null,null,null,null,null,"IPC AM Reliability Score Table - see Figure 2 on p. 6"]
[null,null,"EVIDENCE USED",null,null,null,"Time relevant","Time relevant","Not time relevant","Not time relevant"]
[null,null,"Name of report","Source of report","Data collection period","Date of publication","Soundness of Method","Limited Method","Soundness of Method","Limited Method","Remarks and raw data evidence \n[Indicate representativeness, quality, etc.; status of the report such as preliminary; if nothing to highlight, leave it blank]"]
["Sector","Outcome Indicator Name/label","[Write the exact name of the report]","[Write the name(s) of agency(ies) that published the report]","[Write the dates during which the data was collected]","[Write the date in which the report was published]","Reliable - R2","Somewhat Reliable - R1+","Somewhat Reliable - R1-","X"]
["Nutrition","Prevalence of Global Acute Malnutrition (GAM) based on weight for height Z-score (WHZ)<-2 and/or bilateral pitting oedema among children 0-59 months (if no data, use 6-59 months)",null,null,null,null,"X"]
[null,"Prevalence of Global Acute Malnutrition (GAM) based on Mid-Upper Arm Circumference (MUAC) <125mm and/or bilateral pitting oedema among children 6-59 months",null,null,null,null,null,"X"]
[null,"Prevalence of Global Acute Malnutrition (GAM) based on Mid-Upper Arm Circumference (MUAC)<210-230 (depending on the contexts) and/or bilateral pitting oedema among PLW"]
[null,"Prevalence of stunting based on height-for-age Z-score (HAZ)<-2 among children 0-59 months"]
[null,"Prevalence of overweight based on weight for height Z-score (WHZ)>2 among children 0-59 months"]
[null,"Prevalence of Global Acute Malnutrition (GAM) based on Mid-Upper Arm Circumference (MUAC)<210mm among Older People"]
[null,"Prevalence of Global Acute Malnutrition (GAM) based on BMI-for-Age Z-Score<-2 among Adolescents"]
[null,"Prevalence of anemia Hb <11g/dl in children 6-59 months"]
[null,"Prevalence of anemia Hb <11g/dl in pregnant women"]
[null,"Crude Death/Mortality Rate (deaths/ 10,000 persons/ day)"]
[null,"Under-five Death/Mortality Rate (deaths/ 10,000 children U5/ day)"]
["IYCF Practices","Minimum Dietary Diversity in children 6 to 23 months"]
[null,"Exclusive breastfeeding for infants 0-5 months"]
[null,"Infants 0-5 months that are not breastfed who have access to Breast Milk Substitutes (BMS)  supplies and support in line with the Code and the IFE OG standards and recommendations"]
[null,"Infants 6-11 months that are not breastfed who have access to Breast Milk Substitutes (BMS)  supplies and support in line with the Code and the IFE OG standards and recommendations"]
["WASH","% of HHs having access to an improved water source"]
[null,"% of HHs having access to a sufficient quantity of water for drinking, cooking, bathing, washing or other domestic use"]
[null,"% of HHs having access to a functionnal and improved sanitation facility"]
[null,"% of HHs with access to functioning handwashing facilities, with water and soap available or % of HHs with access to soap"]
["Health","Coverage of DTC3 (DPT3 / PENTA3) in < 1 year old, by administrative unit (%)"]
[null,"Routine measles vaccination coverage (%)"]
[null,"Routine polio vaccination coverage (%)"]
[null,"Routine Vitamin A supplementation coverage (%)"]
[null,"Campaign measles vaccination coverage (%)"]
[null,"Campaign polio vaccination coverage (%)"]
[null,"Campaign Vitamin A supplementation coverage (%)"]
[null,"Measles vaccination coverage from surveys (%)"]
[null,"Polio vaccination coverage from surveys (%)"]
[null,"Vitamin A supplementation coverage from surveys (%)"]
[null,"Coverage of all basic vaccinations from surveys (%)"]
[null,"Percentage of children aged six months to 15 years who have received measles vaccination"]
[null,"Number of cases or incidence rates for selected diseases relevant to the local context (cholera, measles, acute meningitis, others)"]
[null,"Case Fatality Ratio (CFR) for most common diseases"]
[null,"Proportion of children U5 with diarrhea in the last two weeks"]
[null,"Prevalence of HIV/AIDS "]
[null,"Proportion of children U5 with fever in malaria-risk areas"]
[null,"Proportion of children U5 who had Acute Respiratory Infections (ARI) in the last 2 weeks"]
[null,"Number of reported cases of cholera or Acute Watery Diarrhea (AWD)"]
[null,"Percentage of healthcare facilities that deliver essential package of health services (including nutrition)"]
[null,"Health-seeking behaviour from population-based surveys"]
[null,"Percentage of population that can access primary healthcare within one hour’s walk from dwellings"]
[null,"Number of HF with Basic Emergency Obstetric Care/ 500,000 population, by administrative unit"]
[null,"Number of skilled birth attendant personnel (doctors, nurses, certified midwives) per 10,000 people"]
["Food Security","PRIORITY: Food Security Cluster/Sector Analysis"]
[null,"Food Consumption Score"]
[null,"Household Hunger Scale"]
[null,"Reduced Coping Strategies Index"]
[null,"Household Dietary Diversity Score"]

{"sheet":"Analysis Team Composition","index":4,"n_rows":15,"n_cols":8,"rows_kept":15,"cut":false,"hidden":false,"merged":[[6,0,14,0],[3,2,5,2],[4,6,5,6],[4,7,5,7],[0,0,0,8],[2,2,2,7],[2,0,2,1],[3,0,3,1],[4,0,4,1],[5,0,5,1],[3,3,3,7],[4,4,5,4],[4,5,5,5]]}
["ANALYSIS TEAM COMPOSITION MATRIX"]
[null,null,null,null,"(adapted from IPC AMN)"]
["Nutrition Cluster Coordinator: ",null,"Stakeholder Organization Representation"]
["Facilitator(s): ",null,"Member of the NIS TWG \n(Yes/No)","(Indicate the name, title, and agency)"]
[null,null,null,"National Government ","National NGOs/ Civil Society/ Private Sector","Technical Agencies/Academic Institutions ","International NGOs ","United Nations Agencies "]
[null,null,null,"(at all relevant levels)"]
["Area of Expertise (include as relevant for analysis) ","Nutrition"]
[null,"Food Security/ Livelihoods"]
[null,"Health"]
[null,"WASH"]
[null,"Gender"]
[null,"Statistics"]
[null,"Other 1"]
[null,"Other 2"]
[null,"Other 3"]

{"sheet":"Scenario 2 - Nut.Analysis","index":5,"n_rows":44,"n_cols":7,"rows_kept":44,"cut":false,"hidden":false,"merged":[[1,1,1,5],[0,0,0,2]]}
["PHYSICAL AND MENTAL WELL-BEING",null,null,"SCENARIO 2 with U5 GAM≥5%"]
[null,"Reliability Scores"]
[null,"Based on soundness of method and time relevance (see Figure 2)\nR2 - Reliable\nR1 - Somewhat reliable ","Based on soundness of method and time relevance (see Figure 2)\nR2 - Reliable\nR1 - Somewhat reliable ","Based on soundness of method and time relevance (see Figure 2)\nR2 - Reliable\nR1 - Somewhat reliable ","Based on soundness of method and time relevance (see Figure 2)\nR2 - Reliable\nR1 - Somewhat reliable ","Based on soundness of method and time relevance (see Figure 2)\nR2 - Reliable\nR1 - Somewhat reliable "]
[]
["Admin  for \"Affected\" areas of interest","GAM prevalence % \n(WHZ) for children 0-59 months","ONLY IF GAM (WHZ) is not available:\nGAM prevalence % (MUAC) for children 6-59 months ","GAM prevalence % for PLW\n(MUAC<210mm)*","Severity Analysis based on \nGAM prevalence %","Justification if GAM based on MUAC was used"]
["Use Admin names  from the CODs","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Automatic Classifier",null,"* adapt with country-level cut-off if different"]
["Badakhshan",0.12,0.15,0.45,{"$f":"IF(B7<>\"\",\n(IF(B7<5%,'Classification thresholds'!$F$2,\nIF(B7<10%,'Classification thresholds'!$G$2,\nIF(B7<15%,'Classification thresholds'!$H$2,IF(B7<30%,'Classification thresholds'!$I$2,IF(B7>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C7<>\"\",(IF(C7<5%,\"Provide justification for value\",\nIF(C7<10%,\"Provide justification for value\",\nIF(C7<15%,\"Provide justification for value\",\nIF(C7<30%,\"Provide justification for value\",\"\"))))),\nIF(D7<>\"\",(IF(D7<12.5%,'Classification thresholds'!$F$2,\nIF(D7<20%,'Classification thresholds'!$G$2,\nIF(D7<25%,'Classification thresholds'!$H$2,\nIF(D7<35%,'Classification thresholds'!$I$2,IF(D7>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 3"}]
["Badghis",0.17,null,0.15,{"$f":"IF(B8<>\"\",\n(IF(B8<5%,'Classification thresholds'!$F$2,\nIF(B8<10%,'Classification thresholds'!$G$2,\nIF(B8<15%,'Classification thresholds'!$H$2,IF(B8<30%,'Classification thresholds'!$I$2,IF(B8>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C8<>\"\",(IF(C8<5%,\"Provide justification for value\",\nIF(C8<10%,\"Provide justification for value\",\nIF(C8<15%,\"Provide justification for value\",\nIF(C8<30%,\"Provide justification for value\",\"\"))))),\nIF(D8<>\"\",(IF(D8<12.5%,'Classification thresholds'!$F$2,\nIF(D8<20%,'Classification thresholds'!$G$2,\nIF(D8<25%,'Classification thresholds'!$H$2,\nIF(D8<35%,'Classification thresholds'!$I$2,IF(D8>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 4"}]
["Baghlan",0.35,0.12,0.12,{"$f":"IF(B9<>\"\",\n(IF(B9<5%,'Classification thresholds'!$F$2,\nIF(B9<10%,'Classification thresholds'!$G$2,\nIF(B9<15%,'Classification thresholds'!$H$2,IF(B9<30%,'Classification thresholds'!$I$2,IF(B9>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C9<>\"\",(IF(C9<5%,\"Provide justification for value\",\nIF(C9<10%,\"Provide justification for value\",\nIF(C9<15%,\"Provide justification for value\",\nIF(C9<30%,\"Provide justification for value\",\"\"))))),\nIF(D9<>\"\",(IF(D9<12.5%,'Classification thresholds'!$F$2,\nIF(D9<20%,'Classification thresholds'!$G$2,\nIF(D9<25%,'Classification thresholds'!$H$2,\nIF(D9<35%,'Classification thresholds'!$I$2,IF(D9>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 5"}]
["Balkh",0.05,null,0.24,{"$f":"IF(B10<>\"\",\n(IF(B10<5%,'Classification thresholds'!$F$2,\nIF(B10<10%,'Classification thresholds'!$G$2,\nIF(B10<15%,'Classification thresholds'!$H$2,IF(B10<30%,'Classification thresholds'!$I$2,IF(B10>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C10<>\"\",(IF(C10<5%,\"Provide justification for value\",\nIF(C10<10%,\"Provide justification for value\",\nIF(C10<15%,\"Provide justification for value\",\nIF(C10<30%,\"Provide justification for value\",\"\"))))),\nIF(D10<>\"\",(IF(D10<12.5%,'Classification thresholds'!$F$2,\nIF(D10<20%,'Classification thresholds'!$G$2,\nIF(D10<25%,'Classification thresholds'!$H$2,\nIF(D10<35%,'Classification thresholds'!$I$2,IF(D10>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Bamyan",null,null,0.3,{"$f":"IF(B11<>\"\",\n(IF(B11<5%,'Classification thresholds'!$F$2,\nIF(B11<10%,'Classification thresholds'!$G$2,\nIF(B11<15%,'Classification thresholds'!$H$2,IF(B11<30%,'Classification thresholds'!$I$2,IF(B11>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C11<>\"\",(IF(C11<5%,\"Provide justification for value\",\nIF(C11<10%,\"Provide justification for value\",\nIF(C11<15%,\"Provide justification for value\",\nIF(C11<30%,\"Provide justification for value\",\"\"))))),\nIF(D11<>\"\",(IF(D11<12.5%,'Classification thresholds'!$F$2,\nIF(D11<20%,'Classification thresholds'!$G$2,\nIF(D11<25%,'Classification thresholds'!$H$2,\nIF(D11<35%,'Classification thresholds'!$I$2,IF(D11>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 4"}]
["Dykundi",0.05,null,null,{"$f":"IF(B12<>\"\",\n(IF(B12<5%,'Classification thresholds'!$F$2,\nIF(B12<10%,'Classification thresholds'!$G$2,\nIF(B12<15%,'Classification thresholds'!$H$2,IF(B12<30%,'Classification thresholds'!$I$2,IF(B12>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C12<>\"\",(IF(C12<5%,\"Provide justification for value\",\nIF(C12<10%,\"Provide justification for value\",\nIF(C12<15%,\"Provide justification for value\",\nIF(C12<30%,\"Provide justification for value\",\"\"))))),\nIF(D12<>\"\",(IF(D12<12.5%,'Classification thresholds'!$F$2,\nIF(D12<20%,'Classification thresholds'!$G$2,\nIF(D12<25%,'Classification thresholds'!$H$2,\nIF(D12<35%,'Classification thresholds'!$I$2,IF(D12>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Farah",0.05,null,null,{"$f":"IF(B13<>\"\",\n(IF(B13<5%,'Classification thresholds'!$F$2,\nIF(B13<10%,'Classification thresholds'!$G$2,\nIF(B13<15%,'Classification thresholds'!$H$2,IF(B13<30%,'Classification thresholds'!$I$2,IF(B13>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C13<>\"\",(IF(C13<5%,\"Provide justification for value\",\nIF(C13<10%,\"Provide justification for value\",\nIF(C13<15%,\"Provide justification for value\",\nIF(C13<30%,\"Provide justification for value\",\"\"))))),\nIF(D13<>\"\",(IF(D13<12.5%,'Classification thresholds'!$F$2,\nIF(D13<20%,'Classification thresholds'!$G$2,\nIF(D13<25%,'Classification thresholds'!$H$2,\nIF(D13<35%,'Classification thresholds'!$I$2,IF(D13>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Faryab",null,0.14000000000000001,null,{"$f":"IF(B14<>\"\",\n(IF(B14<5%,'Classification thresholds'!$F$2,\nIF(B14<10%,'Classification thresholds'!$G$2,\nIF(B14<15%,'Classification thresholds'!$H$2,IF(B14<30%,'Classification thresholds'!$I$2,IF(B14>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C14<>\"\",(IF(C14<5%,\"Provide justification for value\",\nIF(C14<10%,\"Provide justification for value\",\nIF(C14<15%,\"Provide justification for value\",\nIF(C14<30%,\"Provide justification for value\",\"\"))))),\nIF(D14<>\"\",(IF(D14<12.5%,'Classification thresholds'!$F$2,\nIF(D14<20%,'Classification thresholds'!$G$2,\nIF(D14<25%,'Classification thresholds'!$H$2,\nIF(D14<35%,'Classification thresholds'!$I$2,IF(D14>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Provide justification for value"}]
["Ghazni",0.05,null,null,{"$f":"IF(B15<>\"\",\n(IF(B15<5%,'Classification thresholds'!$F$2,\nIF(B15<10%,'Classification thresholds'!$G$2,\nIF(B15<15%,'Classification thresholds'!$H$2,IF(B15<30%,'Classification thresholds'!$I$2,IF(B15>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C15<>\"\",(IF(C15<5%,\"Provide justification for value\",\nIF(C15<10%,\"Provide justification for value\",\nIF(C15<15%,\"Provide justification for value\",\nIF(C15<30%,\"Provide justification for value\",\"\"))))),\nIF(D15<>\"\",(IF(D15<12.5%,'Classification thresholds'!$F$2,\nIF(D15<20%,'Classification thresholds'!$G$2,\nIF(D15<25%,'Classification thresholds'!$H$2,\nIF(D15<35%,'Classification thresholds'!$I$2,IF(D15>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Ghor",null,null,0.35,{"$f":"IF(B16<>\"\",\n(IF(B16<5%,'Classification thresholds'!$F$2,\nIF(B16<10%,'Classification thresholds'!$G$2,\nIF(B16<15%,'Classification thresholds'!$H$2,IF(B16<30%,'Classification thresholds'!$I$2,IF(B16>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C16<>\"\",(IF(C16<5%,\"Provide justification for value\",\nIF(C16<10%,\"Provide justification for value\",\nIF(C16<15%,\"Provide justification for value\",\nIF(C16<30%,\"Provide justification for value\",\"\"))))),\nIF(D16<>\"\",(IF(D16<12.5%,'Classification thresholds'!$F$2,\nIF(D16<20%,'Classification thresholds'!$G$2,\nIF(D16<25%,'Classification thresholds'!$H$2,\nIF(D16<35%,'Classification thresholds'!$I$2,IF(D16>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 5"}]
["Helmand",0.05,null,null,{"$f":"IF(B17<>\"\",\n(IF(B17<5%,'Classification thresholds'!$F$2,\nIF(B17<10%,'Classification thresholds'!$G$2,\nIF(B17<15%,'Classification thresholds'!$H$2,IF(B17<30%,'Classification thresholds'!$I$2,IF(B17>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C17<>\"\",(IF(C17<5%,\"Provide justification for value\",\nIF(C17<10%,\"Provide justification for value\",\nIF(C17<15%,\"Provide justification for value\",\nIF(C17<30%,\"Provide justification for value\",\"\"))))),\nIF(D17<>\"\",(IF(D17<12.5%,'Classification thresholds'!$F$2,\nIF(D17<20%,'Classification thresholds'!$G$2,\nIF(D17<25%,'Classification thresholds'!$H$2,\nIF(D17<35%,'Classification thresholds'!$I$2,IF(D17>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Hirat",0.05,null,null,{"$f":"IF(B18<>\"\",\n(IF(B18<5%,'Classification thresholds'!$F$2,\nIF(B18<10%,'Classification thresholds'!$G$2,\nIF(B18<15%,'Classification thresholds'!$H$2,IF(B18<30%,'Classification thresholds'!$I$2,IF(B18>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C18<>\"\",(IF(C18<5%,\"Provide justification for value\",\nIF(C18<10%,\"Provide justification for value\",\nIF(C18<15%,\"Provide justification for value\",\nIF(C18<30%,\"Provide justification for value\",\"\"))))),\nIF(D18<>\"\",(IF(D18<12.5%,'Classification thresholds'!$F$2,\nIF(D18<20%,'Classification thresholds'!$G$2,\nIF(D18<25%,'Classification thresholds'!$H$2,\nIF(D18<35%,'Classification thresholds'!$I$2,IF(D18>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Jawzjan",0.05,null,null,{"$f":"IF(B19<>\"\",\n(IF(B19<5%,'Classification thresholds'!$F$2,\nIF(B19<10%,'Classification thresholds'!$G$2,\nIF(B19<15%,'Classification thresholds'!$H$2,IF(B19<30%,'Classification thresholds'!$I$2,IF(B19>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C19<>\"\",(IF(C19<5%,\"Provide justification for value\",\nIF(C19<10%,\"Provide justification for value\",\nIF(C19<15%,\"Provide justification for value\",\nIF(C19<30%,\"Provide justification for value\",\"\"))))),\nIF(D19<>\"\",(IF(D19<12.5%,'Classification thresholds'!$F$2,\nIF(D19<20%,'Classification thresholds'!$G$2,\nIF(D19<25%,'Classification thresholds'!$H$2,\nIF(D19<35%,'Classification thresholds'!$I$2,IF(D19>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Kabul",0.2,null,null,{"$f":"IF(B20<>\"\",\n(IF(B20<5%,'Classification thresholds'!$F$2,\nIF(B20<10%,'Classification thresholds'!$G$2,\nIF(B20<15%,'Classification thresholds'!$H$2,IF(B20<30%,'Classification thresholds'!$I$2,IF(B20>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C20<>\"\",(IF(C20<5%,\"Provide justification for value\",\nIF(C20<10%,\"Provide justification for value\",\nIF(C20<15%,\"Provide justification for value\",\nIF(C20<30%,\"Provide justification for value\",\"\"))))),\nIF(D20<>\"\",(IF(D20<12.5%,'Classification thresholds'!$F$2,\nIF(D20<20%,'Classification thresholds'!$G$2,\nIF(D20<25%,'Classification thresholds'!$H$2,\nIF(D20<35%,'Classification thresholds'!$I$2,IF(D20>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 4"}]
["Kandahar",0.05,null,null,{"$f":"IF(B21<>\"\",\n(IF(B21<5%,'Classification thresholds'!$F$2,\nIF(B21<10%,'Classification thresholds'!$G$2,\nIF(B21<15%,'Classification thresholds'!$H$2,IF(B21<30%,'Classification thresholds'!$I$2,IF(B21>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C21<>\"\",(IF(C21<5%,\"Provide justification for value\",\nIF(C21<10%,\"Provide justification for value\",\nIF(C21<15%,\"Provide justification for value\",\nIF(C21<30%,\"Provide justification for value\",\"\"))))),\nIF(D21<>\"\",(IF(D21<12.5%,'Classification thresholds'!$F$2,\nIF(D21<20%,'Classification thresholds'!$G$2,\nIF(D21<25%,'Classification thresholds'!$H$2,\nIF(D21<35%,'Classification thresholds'!$I$2,IF(D21>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Kapisa",0.05,null,null,{"$f":"IF(B22<>\"\",\n(IF(B22<5%,'Classification thresholds'!$F$2,\nIF(B22<10%,'Classification thresholds'!$G$2,\nIF(B22<15%,'Classification thresholds'!$H$2,IF(B22<30%,'Classification thresholds'!$I$2,IF(B22>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C22<>\"\",(IF(C22<5%,\"Provide justification for value\",\nIF(C22<10%,\"Provide justification for value\",\nIF(C22<15%,\"Provide justification for value\",\nIF(C22<30%,\"Provide justification for value\",\"\"))))),\nIF(D22<>\"\",(IF(D22<12.5%,'Classification thresholds'!$F$2,\nIF(D22<20%,'Classification thresholds'!$G$2,\nIF(D22<25%,'Classification thresholds'!$H$2,\nIF(D22<35%,'Classification thresholds'!$I$2,IF(D22>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Khost",0.05,null,null,{"$f":"IF(B23<>\"\",\n(IF(B23<5%,'Classification thresholds'!$F$2,\nIF(B23<10%,'Classification thresholds'!$G$2,\nIF(B23<15%,'Classification thresholds'!$H$2,IF(B23<30%,'Classification thresholds'!$I$2,IF(B23>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C23<>\"\",(IF(C23<5%,\"Provide justification for value\",\nIF(C23<10%,\"Provide justification for value\",\nIF(C23<15%,\"Provide justification for value\",\nIF(C23<30%,\"Provide justification for value\",\"\"))))),\nIF(D23<>\"\",(IF(D23<12.5%,'Classification thresholds'!$F$2,\nIF(D23<20%,'Classification thresholds'!$G$2,\nIF(D23<25%,'Classification thresholds'!$H$2,\nIF(D23<35%,'Classification thresholds'!$I$2,IF(D23>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Kunar",0.05,null,null,{"$f":"IF(B24<>\"\",\n(IF(B24<5%,'Classification thresholds'!$F$2,\nIF(B24<10%,'Classification thresholds'!$G$2,\nIF(B24<15%,'Classification thresholds'!$H$2,IF(B24<30%,'Classification thresholds'!$I$2,IF(B24>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C24<>\"\",(IF(C24<5%,\"Provide justification for value\",\nIF(C24<10%,\"Provide justification for value\",\nIF(C24<15%,\"Provide justification for value\",\nIF(C24<30%,\"Provide justification for value\",\"\"))))),\nIF(D24<>\"\",(IF(D24<12.5%,'Classification thresholds'!$F$2,\nIF(D24<20%,'Classification thresholds'!$G$2,\nIF(D24<25%,'Classification thresholds'!$H$2,\nIF(D24<35%,'Classification thresholds'!$I$2,IF(D24>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Kunduz",0.05,null,null,{"$f":"IF(B25<>\"\",\n(IF(B25<5%,'Classification thresholds'!$F$2,\nIF(B25<10%,'Classification thresholds'!$G$2,\nIF(B25<15%,'Classification thresholds'!$H$2,IF(B25<30%,'Classification thresholds'!$I$2,IF(B25>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C25<>\"\",(IF(C25<5%,\"Provide justification for value\",\nIF(C25<10%,\"Provide justification for value\",\nIF(C25<15%,\"Provide justification for value\",\nIF(C25<30%,\"Provide justification for value\",\"\"))))),\nIF(D25<>\"\",(IF(D25<12.5%,'Classification thresholds'!$F$2,\nIF(D25<20%,'Classification thresholds'!$G$2,\nIF(D25<25%,'Classification thresholds'!$H$2,\nIF(D25<35%,'Classification thresholds'!$I$2,IF(D25>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Laghman",0.05,null,null,{"$f":"IF(B26<>\"\",\n(IF(B26<5%,'Classification thresholds'!$F$2,\nIF(B26<10%,'Classification thresholds'!$G$2,\nIF(B26<15%,'Classification thresholds'!$H$2,IF(B26<30%,'Classification thresholds'!$I$2,IF(B26>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C26<>\"\",(IF(C26<5%,\"Provide justification for value\",\nIF(C26<10%,\"Provide justification for value\",\nIF(C26<15%,\"Provide justification for value\",\nIF(C26<30%,\"Provide justification for value\",\"\"))))),\nIF(D26<>\"\",(IF(D26<12.5%,'Classification thresholds'!$F$2,\nIF(D26<20%,'Classification thresholds'!$G$2,\nIF(D26<25%,'Classification thresholds'!$H$2,\nIF(D26<35%,'Classification thresholds'!$I$2,IF(D26>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Logar",0.05,null,null,{"$f":"IF(B27<>\"\",\n(IF(B27<5%,'Classification thresholds'!$F$2,\nIF(B27<10%,'Classification thresholds'!$G$2,\nIF(B27<15%,'Classification thresholds'!$H$2,IF(B27<30%,'Classification thresholds'!$I$2,IF(B27>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C27<>\"\",(IF(C27<5%,\"Provide justification for value\",\nIF(C27<10%,\"Provide justification for value\",\nIF(C27<15%,\"Provide justification for value\",\nIF(C27<30%,\"Provide justification for value\",\"\"))))),\nIF(D27<>\"\",(IF(D27<12.5%,'Classification thresholds'!$F$2,\nIF(D27<20%,'Classification thresholds'!$G$2,\nIF(D27<25%,'Classification thresholds'!$H$2,\nIF(D27<35%,'Classification thresholds'!$I$2,IF(D27>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Nangarhar",0.05,null,null,{"$f":"IF(B28<>\"\",\n(IF(B28<5%,'Classification thresholds'!$F$2,\nIF(B28<10%,'Classification thresholds'!$G$2,\nIF(B28<15%,'Classification thresholds'!$H$2,IF(B28<30%,'Classification thresholds'!$I$2,IF(B28>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C28<>\"\",(IF(C28<5%,\"Provide justification for value\",\nIF(C28<10%,\"Provide justification for value\",\nIF(C28<15%,\"Provide justification for value\",\nIF(C28<30%,\"Provide justification for value\",\"\"))))),\nIF(D28<>\"\",(IF(D28<12.5%,'Classification thresholds'!$F$2,\nIF(D28<20%,'Classification thresholds'!$G$2,\nIF(D28<25%,'Classification thresholds'!$H$2,\nIF(D28<35%,'Classification thresholds'!$I$2,IF(D28>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Nimroz",0.05,null,null,{"$f":"IF(B29<>\"\",\n(IF(B29<5%,'Classification thresholds'!$F$2,\nIF(B29<10%,'Classification thresholds'!$G$2,\nIF(B29<15%,'Classification thresholds'!$H$2,IF(B29<30%,'Classification thresholds'!$I$2,IF(B29>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C29<>\"\",(IF(C29<5%,\"Provide justification for value\",\nIF(C29<10%,\"Provide justification for value\",\nIF(C29<15%,\"Provide justification for value\",\nIF(C29<30%,\"Provide justification for value\",\"\"))))),\nIF(D29<>\"\",(IF(D29<12.5%,'Classification thresholds'!$F$2,\nIF(D29<20%,'Classification thresholds'!$G$2,\nIF(D29<25%,'Classification thresholds'!$H$2,\nIF(D29<35%,'Classification thresholds'!$I$2,IF(D29>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Nuristan",0.05,null,null,{"$f":"IF(B30<>\"\",\n(IF(B30<5%,'Classification thresholds'!$F$2,\nIF(B30<10%,'Classification thresholds'!$G$2,\nIF(B30<15%,'Classification thresholds'!$H$2,IF(B30<30%,'Classification thresholds'!$I$2,IF(B30>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C30<>\"\",(IF(C30<5%,\"Provide justification for value\",\nIF(C30<10%,\"Provide justification for value\",\nIF(C30<15%,\"Provide justification for value\",\nIF(C30<30%,\"Provide justification for value\",\"\"))))),\nIF(D30<>\"\",(IF(D30<12.5%,'Classification thresholds'!$F$2,\nIF(D30<20%,'Classification thresholds'!$G$2,\nIF(D30<25%,'Classification thresholds'!$H$2,\nIF(D30<35%,'Classification thresholds'!$I$2,IF(D30>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Paktika",0.05,null,null,{"$f":"IF(B31<>\"\",\n(IF(B31<5%,'Classification thresholds'!$F$2,\nIF(B31<10%,'Classification thresholds'!$G$2,\nIF(B31<15%,'Classification thresholds'!$H$2,IF(B31<30%,'Classification thresholds'!$I$2,IF(B31>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C31<>\"\",(IF(C31<5%,\"Provide justification for value\",\nIF(C31<10%,\"Provide justification for value\",\nIF(C31<15%,\"Provide justification for value\",\nIF(C31<30%,\"Provide justification for value\",\"\"))))),\nIF(D31<>\"\",(IF(D31<12.5%,'Classification thresholds'!$F$2,\nIF(D31<20%,'Classification thresholds'!$G$2,\nIF(D31<25%,'Classification thresholds'!$H$2,\nIF(D31<35%,'Classification thresholds'!$I$2,IF(D31>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Paktya",0.05,null,null,{"$f":"IF(B32<>\"\",\n(IF(B32<5%,'Classification thresholds'!$F$2,\nIF(B32<10%,'Classification thresholds'!$G$2,\nIF(B32<15%,'Classification thresholds'!$H$2,IF(B32<30%,'Classification thresholds'!$I$2,IF(B32>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C32<>\"\",(IF(C32<5%,\"Provide justification for value\",\nIF(C32<10%,\"Provide justification for value\",\nIF(C32<15%,\"Provide justification for value\",\nIF(C32<30%,\"Provide justification for value\",\"\"))))),\nIF(D32<>\"\",(IF(D32<12.5%,'Classification thresholds'!$F$2,\nIF(D32<20%,'Classification thresholds'!$G$2,\nIF(D32<25%,'Classification thresholds'!$H$2,\nIF(D32<35%,'Classification thresholds'!$I$2,IF(D32>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Panjsher",0.05,null,null,{"$f":"IF(B33<>\"\",\n(IF(B33<5%,'Classification thresholds'!$F$2,\nIF(B33<10%,'Classification thresholds'!$G$2,\nIF(B33<15%,'Classification thresholds'!$H$2,IF(B33<30%,'Classification thresholds'!$I$2,IF(B33>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C33<>\"\",(IF(C33<5%,\"Provide justification for value\",\nIF(C33<10%,\"Provide justification for value\",\nIF(C33<15%,\"Provide justification for value\",\nIF(C33<30%,\"Provide justification for value\",\"\"))))),\nIF(D33<>\"\",(IF(D33<12.5%,'Classification thresholds'!$F$2,\nIF(D33<20%,'Classification thresholds'!$G$2,\nIF(D33<25%,'Classification thresholds'!$H$2,\nIF(D33<35%,'Classification thresholds'!$I$2,IF(D33>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Parwan",0.05,null,null,{"$f":"IF(B34<>\"\",\n(IF(B34<5%,'Classification thresholds'!$F$2,\nIF(B34<10%,'Classification thresholds'!$G$2,\nIF(B34<15%,'Classification thresholds'!$H$2,IF(B34<30%,'Classification thresholds'!$I$2,IF(B34>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C34<>\"\",(IF(C34<5%,\"Provide justification for value\",\nIF(C34<10%,\"Provide justification for value\",\nIF(C34<15%,\"Provide justification for value\",\nIF(C34<30%,\"Provide justification for value\",\"\"))))),\nIF(D34<>\"\",(IF(D34<12.5%,'Classification thresholds'!$F$2,\nIF(D34<20%,'Classification thresholds'!$G$2,\nIF(D34<25%,'Classification thresholds'!$H$2,\nIF(D34<35%,'Classification thresholds'!$I$2,IF(D34>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Samangan",0.05,null,null,{"$f":"IF(B35<>\"\",\n(IF(B35<5%,'Classification thresholds'!$F$2,\nIF(B35<10%,'Classification thresholds'!$G$2,\nIF(B35<15%,'Classification thresholds'!$H$2,IF(B35<30%,'Classification thresholds'!$I$2,IF(B35>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C35<>\"\",(IF(C35<5%,\"Provide justification for value\",\nIF(C35<10%,\"Provide justification for value\",\nIF(C35<15%,\"Provide justification for value\",\nIF(C35<30%,\"Provide justification for value\",\"\"))))),\nIF(D35<>\"\",(IF(D35<12.5%,'Classification thresholds'!$F$2,\nIF(D35<20%,'Classification thresholds'!$G$2,\nIF(D35<25%,'Classification thresholds'!$H$2,\nIF(D35<35%,'Classification thresholds'!$I$2,IF(D35>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
["Sar-e-Pul",0.05,null,null,{"$f":"IF(B36<>\"\",\n(IF(B36<5%,'Classification thresholds'!$F$2,\nIF(B36<10%,'Classification thresholds'!$G$2,\nIF(B36<15%,'Classification thresholds'!$H$2,IF(B36<30%,'Classification thresholds'!$I$2,IF(B36>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C36<>\"\",(IF(C36<5%,\"Provide justification for value\",\nIF(C36<10%,\"Provide justification for value\",\nIF(C36<15%,\"Provide justification for value\",\nIF(C36<30%,\"Provide justification for value\",\"\"))))),\nIF(D36<>\"\",(IF(D36<12.5%,'Classification thresholds'!$F$2,\nIF(D36<20%,'Classification thresholds'!$G$2,\nIF(D36<25%,'Classification thresholds'!$H$2,\nIF(D36<35%,'Classification thresholds'!$I$2,IF(D36>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":"Phase 2"}]
[null,null,null,null,{"$f":"IF(B37<>\"\",\n(IF(B37<5%,'Classification thresholds'!$F$2,\nIF(B37<10%,'Classification thresholds'!$G$2,\nIF(B37<15%,'Classification thresholds'!$H$2,IF(B37<30%,'Classification thresholds'!$I$2,IF(B37>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C37<>\"\",(IF(C37<5%,\"Provide justification for value\",\nIF(C37<10%,\"Provide justification for value\",\nIF(C37<15%,\"Provide justification for value\",\nIF(C37<30%,\"Provide justification for value\",\"\"))))),\nIF(D37<>\"\",(IF(D37<12.5%,'Classification thresholds'!$F$2,\nIF(D37<20%,'Classification thresholds'!$G$2,\nIF(D37<25%,'Classification thresholds'!$H$2,\nIF(D37<35%,'Classification thresholds'!$I$2,IF(D37>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B38<>\"\",\n(IF(B38<5%,'Classification thresholds'!$F$2,\nIF(B38<10%,'Classification thresholds'!$G$2,\nIF(B38<15%,'Classification thresholds'!$H$2,IF(B38<30%,'Classification thresholds'!$I$2,IF(B38>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C38<>\"\",(IF(C38<5%,\"Provide justification for value\",\nIF(C38<10%,\"Provide justification for value\",\nIF(C38<15%,\"Provide justification for value\",\nIF(C38<30%,\"Provide justification for value\",\"\"))))),\nIF(D38<>\"\",(IF(D38<12.5%,'Classification thresholds'!$F$2,\nIF(D38<20%,'Classification thresholds'!$G$2,\nIF(D38<25%,'Classification thresholds'!$H$2,\nIF(D38<35%,'Classification thresholds'!$I$2,IF(D38>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B39<>\"\",\n(IF(B39<5%,'Classification thresholds'!$F$2,\nIF(B39<10%,'Classification thresholds'!$G$2,\nIF(B39<15%,'Classification thresholds'!$H$2,IF(B39<30%,'Classification thresholds'!$I$2,IF(B39>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C39<>\"\",(IF(C39<5%,\"Provide justification for value\",\nIF(C39<10%,\"Provide justification for value\",\nIF(C39<15%,\"Provide justification for value\",\nIF(C39<30%,\"Provide justification for value\",\"\"))))),\nIF(D39<>\"\",(IF(D39<12.5%,'Classification thresholds'!$F$2,\nIF(D39<20%,'Classification thresholds'!$G$2,\nIF(D39<25%,'Classification thresholds'!$H$2,\nIF(D39<35%,'Classification thresholds'!$I$2,IF(D39>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B40<>\"\",\n(IF(B40<5%,'Classification thresholds'!$F$2,\nIF(B40<10%,'Classification thresholds'!$G$2,\nIF(B40<15%,'Classification thresholds'!$H$2,IF(B40<30%,'Classification thresholds'!$I$2,IF(B40>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C40<>\"\",(IF(C40<5%,\"Provide justification for value\",\nIF(C40<10%,\"Provide justification for value\",\nIF(C40<15%,\"Provide justification for value\",\nIF(C40<30%,\"Provide justification for value\",\"\"))))),\nIF(D40<>\"\",(IF(D40<12.5%,'Classification thresholds'!$F$2,\nIF(D40<20%,'Classification thresholds'!$G$2,\nIF(D40<25%,'Classification thresholds'!$H$2,\nIF(D40<35%,'Classification thresholds'!$I$2,IF(D40>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B41<>\"\",\n(IF(B41<5%,'Classification thresholds'!$F$2,\nIF(B41<10%,'Classification thresholds'!$G$2,\nIF(B41<15%,'Classification thresholds'!$H$2,IF(B41<30%,'Classification thresholds'!$I$2,IF(B41>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C41<>\"\",(IF(C41<5%,\"Provide justification for value\",\nIF(C41<10%,\"Provide justification for value\",\nIF(C41<15%,\"Provide justification for value\",\nIF(C41<30%,\"Provide justification for value\",\"\"))))),\nIF(D41<>\"\",(IF(D41<12.5%,'Classification thresholds'!$F$2,\nIF(D41<20%,'Classification thresholds'!$G$2,\nIF(D41<25%,'Classification thresholds'!$H$2,\nIF(D41<35%,'Classification thresholds'!$I$2,IF(D41>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B42<>\"\",\n(IF(B42<5%,'Classification thresholds'!$F$2,\nIF(B42<10%,'Classification thresholds'!$G$2,\nIF(B42<15%,'Classification thresholds'!$H$2,IF(B42<30%,'Classification thresholds'!$I$2,IF(B42>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C42<>\"\",(IF(C42<5%,\"Provide justification for value\",\nIF(C42<10%,\"Provide justification for value\",\nIF(C42<15%,\"Provide justification for value\",\nIF(C42<30%,\"Provide justification for value\",\"\"))))),\nIF(D42<>\"\",(IF(D42<12.5%,'Classification thresholds'!$F$2,\nIF(D42<20%,'Classification thresholds'!$G$2,\nIF(D42<25%,'Classification thresholds'!$H$2,\nIF(D42<35%,'Classification thresholds'!$I$2,IF(D42>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B43<>\"\",\n(IF(B43<5%,'Classification thresholds'!$F$2,\nIF(B43<10%,'Classification thresholds'!$G$2,\nIF(B43<15%,'Classification thresholds'!$H$2,IF(B43<30%,'Classification thresholds'!$I$2,IF(B43>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C43<>\"\",(IF(C43<5%,\"Provide justification for value\",\nIF(C43<10%,\"Provide justification for value\",\nIF(C43<15%,\"Provide justification for value\",\nIF(C43<30%,\"Provide justification for value\",\"\"))))),\nIF(D43<>\"\",(IF(D43<12.5%,'Classification thresholds'!$F$2,\nIF(D43<20%,'Classification thresholds'!$G$2,\nIF(D43<25%,'Classification thresholds'!$H$2,\nIF(D43<35%,'Classification thresholds'!$I$2,IF(D43>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]
[null,null,null,null,{"$f":"IF(B44<>\"\",\n(IF(B44<5%,'Classification thresholds'!$F$2,\nIF(B44<10%,'Classification thresholds'!$G$2,\nIF(B44<15%,'Classification thresholds'!$H$2,IF(B44<30%,'Classification thresholds'!$I$2,IF(B44>29%,'Classification thresholds'!$J$2,\"\")))))),\nIF(C44<>\"\",(IF(C44<5%,\"Provide justification for value\",\nIF(C44<10%,\"Provide justification for value\",\nIF(C44<15%,\"Provide justification for value\",\nIF(C44<30%,\"Provide justification for value\",\"\"))))),\nIF(D44<>\"\",(IF(D44<12.5%,'Classification thresholds'!$F$2,\nIF(D44<20%,'Classification thresholds'!$G$2,\nIF(D44<25%,'Classification thresholds'!$H$2,\nIF(D44<35%,'Classification thresholds'!$I$2,IF(D44>34%,'Classification thresholds'!$J$2,\"\")))))),\"\")))","v":""}]

{"sheet":"Scenario 2 Contributing Fact","index":6,"n_rows":70,"n_cols":47,"rows_kept":70,"cut":false,"hidden":false,"merged":[[0,0,0,4],[1,3,1,4],[4,19,4,22],[4,23,4,46],[4,1,4,11],[4,12,4,13],[4,14,4,18]]}
["ANALYSIS OF CONTRIBUTING FACTORS",null,null,null,null,"Phase 1","Phase 2","Phase 3","Phase 4","Phase 5","No data"]
[null,null,null,"PROPOSED SCORING SYSTEM",null,"Acceptable/ Minimal","Alert/ Stress","Serious/ Severe","Critical/ Extreme","Extremely Critical/ Catastrophic"]
[null,null,null,null,"Similar to IPC Classification","No contributing factor","Minor contributing factor","Major contributing factor","Critical contributing factor"]
[]
[null,"ONLY FOR SCENARIO 2",null,null,null,null,null,null,null,null,null,null,"Contextual Factors",null,"Food Security",null,null,null,null,"WASH",null,null,null,"Health"]
["Admin  for \"Affected\" areas of interest","Stunting prevalence % \n(HAZ) for children 0-59 months","Prevalence of overweight in children 0-59 months","Prevalence of anemia in children 6-59 months","Prevalence of anemia in pregnant  women","GAM prevalence % for Older People\n(MUAC<210mm)","GAM prevalence % for Adolescents\n(BMI-for-Age)","Prevalence % \nof exclusive breastfeeding for children 0-5 months","% of infants 0-5 months that are not breastfed who have access to BMS \nsupplies and support","% of infants 6-11 months that are not breastfed who have access to BMS \nsupplies and support","Minimum Dietary Diversity in children 6-23 months","Minimum Meal Frequency in children 6-23 months","Crude Death Rate (excluding trauma)","U5 Death Rate\n(excluding trauma)","Food Security Cluster/Sector Analysis","Food Consumption Score","Household Hunger Scale","Reduced Coping Strategies Index","Household Dietary Diversity Score","% of HHs having access to an improved water source","% of HHs having access to a sufficient quantity of water for drinking, cooking, bathing, washing or other domestic use","% of HHs having access to a functionnal and improved sanitation facility","% of HHs with access to functioning handwashing facilities, with water and soap available or % of HHs with access to soap","Coverage of DTC3 (DPT3 / PENTA3) in < 1 year old, by administrative unit (%)","Percentage of children aged six months to 15 years who have received measles vaccination","Routine measles vaccination coverage (%)","Routine polio vaccination coverage (%)","Routine Vitamin A supplementation coverage (%)","Campaign measles vaccination coverage (%)","Campaign polio vaccination coverage (%)","Campaign Vitamin A supplementation coverage (%)","Measles vaccination coverage from surveys (%)","Polio vaccination coverage from surveys (%)","Vitamin A supplementation coverage from surveys (%)","Coverage of all basic vaccinations from surveys (%)","Number of cases or incidence rates for selected diseases relevant to the local context (cholera, measles, acute meningitis, others)","Case Fatality Ratio (CFR) for most common diseases","Percentage of healthcare facilities that deliver essential package of health services","Health-seeking behaviour from population-based surveys","Percentage of population that can access primary healthcare within one hour’s walk from dwellings","Number of HF with Basic Emergency Obstetric Care/ 500,000 population, by administrative unit","Number of skilled birth attendant personnel (doctors, nurses, certified midwives) per 10,000 people","Proportion of children U5 with diarrhea in the last two weeks","Prevalence of HIV/AIDS ","Proportion of children U5 with fever in malaria-risk areas","Proportion of children U5 who had Acute Respiratory Infections (ARI) in the last 2 weeks","Number of reported cases of cholera or Acute Watery Diarrhea (AWD)"]
["Use Admin names  from the CODs","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert prevalence data  - Automatic classification  \n","Insert rate - Automatic classification  \n","Insert rate - Automatic classification  \n","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","Manually Insert Phase Number based on Classification Thresholds","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase"]
["Badakhshan",null,null,null,null,null,null,null,null,null,null,null,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Badghis",null,null,null,null,null,null,null,null,null,null,null,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Baghlan",null,null,null,null,null,null,null,null,null,null,null,1,1,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Balkh",null,null,null,null,null,null,null,null,null,null,null,1,1,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Bamyan",null,null,null,null,null,null,null,null,null,null,null,2,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Dykundi",null,null,null,null,null,null,null,null,null,null,null,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Farah",null,null,null,null,null,null,null,null,null,null,null,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Faryab",null,null,null,null,null,null,null,null,null,null,null,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Ghazni",null,null,null,null,null,null,null,null,null,null,null,2,2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Ghor",null,null,null,null,null,null,null,null,null,null,null,2,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Helmand",null,null,null,null,null,null,null,null,null,null,null,2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Hirat",null,null,null,null,null,null,null,null,null,null,null,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Jawzjan",null,null,null,null,null,null,null,null,null,null,null,0.5,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Kabul",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Kandahar",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Kapisa",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Khost",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Kunar",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Kunduz",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Laghman",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Logar",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Nangarhar",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Nimroz",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Nuristan",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Paktika",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Paktya",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Panjsher",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Parwan",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Samangan",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Sar-e-Pul",null,null,null,null,null,null,null,null,null,null,null,0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Routine/campaign measles vaccination coverage (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Routine/campaign polio vaccination coverage (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Routine/campaign Vitamin A supplementation coverage (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Measles vaccination coverage from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Polio vaccination coverage from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vitamin A supplementation coverage from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coverage of all basic vaccinations from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of cases for selected diseases relevant to the local context (e.g. cholera, measles, acute meningitis, COVID-19)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of inpatient beds per 10,000 people"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage of healthcare facilitaties that deliver essential package of health services (including nutrition)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of skilled birth attendant personnel (doctors, nurses, certified midwives) per 10,000 people"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health-seeking behaviour from population-based surveys"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Dysentery"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Prevalence of HIV/AIDS "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malaria/Fever"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Acute Respiratory Infection (ARI)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cholera or Acute Watery Diarrhea (AWD)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"PRIORITY: Food Security Cluster/Sector Analysis"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Food Consumption Score"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Household Hunger Scale"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Reduced Coping Strategies Index"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Household Dietary Diversity Score"]

{"sheet":"Scenario 3 - Nut. Analysis","index":7,"n_rows":33,"n_cols":22,"rows_kept":33,"cut":false,"hidden":false,"merged":[[24,15,30,17],[0,2,0,5],[11,19,11,20],[3,21,7,21],[5,19,5,20],[7,19,7,20],[8,19,8,20],[8,21,10,21],[11,21,13,21]]}
[null,null,"SCENARIO 3 - NUTRITION SITUATION ANALYSIS ",null,null,null,null,null,null,null,null,null,null,null,null,null,"Phase 1","Phase 2","Phase 3","Phase 4","Phase 5"]
["Admin  for \"Affected\" areas of interest","Prevalence % of exclusive breastfeeding for children 0-5 months","Minimum Dietary Diversity in children 6-23 months\n(if available, use Minimum Acceptable Diet in children 6-23 months)","Stunting prevalence % \n(HAZ) for children 0-59 months","Prevalence of overweight in children 0-59 months","Prevalence of anemia in children 6-59 months","Prevalence of anemia in pregnant  women","% of infants 0-5 months that are not breastfed who have access to BMS supplies and support","% of infants 6-11 months that are not breastfed who have access to BMS supplies and support","GAM prevalence % for Older People\n(MUAC<210mm)","GAM prevalence % for Adolescents\n(BMI-for-Age)"," (Optional) See relevant indicators in the guidance","SCORE","Severity Classification for \"Physical\" per geographical area",null,"PRELIMINARY SCORING SYSTEM*","Acceptable/ Minimal","Alert/ Stress","Serious/ Severe","Critical/ Extreme","Extremely Critical/ Catastrophic"]
["Use Admin names  from the CODs","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification assuming no aggravating factors\n(see Classification thresholds worksheet)","Insert prevalence data  - Automatic classification  \n(see Classification thresholds worksheet)","Manually Insert Phase Number based on Classification Thresholds",null,"Auto formatted",null,100,1,5,14,30,50]
["Badakhshan",null,null,null,null,null,null,null,null,null,null,3,0.95000000000000007,{"$f":"IF(M4<5, \"Phase 1\", IF(M4<14, \"Phase 2\", IF(M4<30, \"Phase 3\", IF(M4<50, \"Phase 4\", \"Phase 5\"))))","v":"Phase 1"},null,"Prevalence % of exclusive breastfeeding for children 0-5 months",{"$f":"$Q$3*$V$4/5","v":0.11000000000000001},{"$f":"$R$3*$V$4/5","v":0.55000000000000004},{"$f":"$S$3*$V$4/5","v":1.5400000000000003},{"$f":"$T$3*$V$4/5","v":3.3},{"$f":"$U$3*$V$4/3","v":9.1666666666666679},0.55000000000000004]
["Badghis",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,{"$f":"IF(M5<5, \"Phase 1\", IF(M5<14, \"Phase 2\", IF(M5<30, \"Phase 3\", IF(M5<50, \"Phase 4\", \"Phase 5\"))))","v":"Phase 1"},null,"Minimum Dietary Diversity in children 6-23 months\n(if available, use Minimum Acceptable Diet in children 6-23 months)",{"$f":"$Q$3*$V$4/5","v":0.11000000000000001},{"$f":"$R$3*$V$4/5","v":0.55000000000000004},{"$f":"$S$3*$V$4/5","v":1.5400000000000003},{"$f":"$T$3*$V$4/5","v":3.3},{"$f":"$U$3*$V$4/3","v":9.1666666666666679}]
["Baghlan",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,{"$f":"IF(M6<5, \"Phase 1\", IF(M6<14, \"Phase 2\", IF(M6<30, \"Phase 3\", IF(M6<50, \"Phase 4\", \"Phase 5\"))))","v":"Phase 1"},null,"Stunting prevalence % (HAZ) for children 0-59 months",{"$f":"$Q$3*$V$4/5","v":0.11000000000000001},{"$f":"$R$3*$V$4/5","v":0.55000000000000004},{"$f":"$S$3*$V$4/5","v":1.5400000000000003},{"$f":"$T$3*$V$4/5","v":3.3}]
["Balkh",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"Prevalence of overweight in children 0-59 months",{"$f":"$Q$3*$V$4/5","v":0.11000000000000001},{"$f":"$R$3*$V$4/5","v":0.55000000000000004},{"$f":"$S$3*$V$4/5","v":1.5400000000000003},{"$f":"$T$3*$V$4/5","v":3.3},{"$f":"$U$3*$V$4/3","v":9.1666666666666679}]
["Bamyan",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"Prevalence of anemia in children 6-59 months",{"$f":"$Q$3*$V$4/5","v":0.11000000000000001},{"$f":"$R$3*$V$4/5","v":0.55000000000000004},{"$f":"$S$3*$V$4/5","v":1.5400000000000003},{"$f":"$T$3*$V$4/5","v":3.3}]
["Dykundi",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"Prevalence of anemia in pregnant women",{"$f":"$Q$3*$V$9/3","v":9.9999999999999992E-2},{"$f":"$R$3*$V$9/3","v":0.5},{"$f":"$S$3*$V$9/3","v":1.4000000000000001},{"$f":"$T$3*$V$9/3","v":3},null,0.3]
["Farah",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"% of infants 0-5 months that are not breastfed who have access to BMS supplies and support",{"$f":"$Q$3*$V$9/3","v":9.9999999999999992E-2},{"$f":"$R$3*$V$9/3","v":0.5},{"$f":"$S$3*$V$9/3","v":1.4000000000000001},{"$f":"$T$3*$V$9/3","v":3},{"$f":"$U$3*$V$9/2","v":7.5}]
["Faryab",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"% of infants 6-11 months that are not breastfed who have access to BMS supplies and support",{"$f":"$Q$3*$V$9/3","v":9.9999999999999992E-2},{"$f":"$R$3*$V$9/3","v":0.5},{"$f":"$S$3*$V$9/3","v":1.4000000000000001},{"$f":"$T$3*$V$9/3","v":3},{"$f":"$U$3*$V$9/2","v":7.5}]
["Ghazni",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"GAM prevalence % for Older People (MUAC<210mm)",{"$f":"$Q$3*$V$12/3","v":4.9999999999999996E-2},{"$f":"$R$3*$V$12/3","v":0.25},{"$f":"$S$3*$V$12/3","v":0.70000000000000007},{"$f":"T3*V12/3","v":1.5},null,0.15]
["Ghor",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"GAM prevalence % for Adolescents (BMI-for-Age)",{"$f":"$Q$3*$V$12/3","v":4.9999999999999996E-2},{"$f":"$R$3*$V$12/3","v":0.25},{"$f":"$S$3*$V$12/3","v":0.70000000000000007},{"$f":"$T$3*$V$12/3","v":1.5},{"$f":"$U$3*$V$12/2","v":3.75}]
["Helmand",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"For country inputs (if relevant, column L)",4.9999999999999996E-2,0.25,0.70000000000000007,{"$f":"$T$3*$V$12/3","v":1.5},{"$f":"$U$3*$V$12/2","v":3.75}]
["Hirat",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Jawzjan",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,null,"Phase 1","Phase 2","Phase 3","Phase 4","Phase 5"]
["Kabul",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"TABLE OF INTERPRETATION","Acceptable/ Minimal","Alert/ Stress","Serious/ Severe","Critical/ Extreme","Extremely Critical/ Catastrophic"]
["Kandahar",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"PRELIMINARY CUT-OFFS BASED ON SCORE","≤4","5-13","14-29","30-49","≥50"]
["Kapisa",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Khost",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"Configuration"]
["Kunar",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"Last Row Number",33]
["Kunduz",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Laghman",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Logar",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Nangarhar",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1",null,"*The rationale is based on a three-tiered scoring system proposed by the GNC Taskforce where the indicators in purple represent 55% of the total amount of points per phase, those in blue 30% and those in green only 15%. For example, if the Stunting prevalence in U5 is in Phase 3, this will receive 1.54 points versus the prevalence of GAM in Older People only receiving 0.7 points. For any missing data, the calculator will automatically assume a Phase 1 for that indicator. This breakdown is not based on hard evidence, rather the assumed vulnerability and reliability of these 10 indicators for this scenario – see Limitations on Instructions worksheet. An extra 11th indiciator is added for country inputs if deemed necessary and relevant- see guidance for further details on which indicators may be included."]
["Nimroz",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Nuristan",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Paktika",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Paktya",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Panjsher",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Parwan",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Samangan",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]
["Sar-e-Pul",null,null,null,null,null,null,null,null,null,null,null,0.95000000000000007,"Phase 1"]

{"sheet":"Scenario 3 Contributing Fact","index":8,"n_rows":70,"n_cols":36,"rows_kept":70,"cut":false,"hidden":false,"merged":[[4,12,4,35],[4,8,4,11],[0,0,0,4],[0,10,1,10],[2,3,2,4],[2,8,2,9],[4,1,4,2],[4,3,4,7],[1,3,1,4]]}
["ANALYSIS OF CONTRIBUTING FACTORS",null,null,null,null,"Phase 1","Phase 2","Phase 3","Phase 4","Phase 5","No data"]
[null,null,null,"PROPOSED SCORING SYSTEM",null,"Acceptable/ Minimal","Alert/ Stress","Serious/ Severe","Critical/ Extreme","Extremely Critical/ Catastrophic"]
[null,null,null,"Similar to IPC Classification",null,"No contributing factor","Minor contributing factor","Major contributing factor","Critical contributing factor"]
[]
[null,"Contextual Factors",null,"Food Security",null,null,null,null,"WASH",null,null,null,"Health"]
["Admin  for \"Affected\" areas of interest","Crude Death Rate\n(excluding trauma when available) ","U5 Death Rate\n(excluding trauma when available)","Food Security Cluster/Sector Analysis","Food Consumption Score","Household Hunger Scale","Reduced Coping Strategies Index","Household Dietary Diversity Score","% of HHs having access to an improved water source","% of HHs having access to a sufficient quantity of water for drinking, cooking, bathing, washing or other domestic use","% of HHs having access to a functionnal and improved sanitation facility","% of HHs with access to functioning handwashing facilities, with water and soap available or % of HHs with access to soap","Coverage of DTC3 (DPT3 / PENTA3) in < 1 year old, by administrative unit (%)","Percentage of children aged six months to 15 years who have received measles vaccination","Routine measles vaccination coverage (%)","Routine polio vaccination coverage (%)","Routine Vitamin A supplementation coverage (%)","Campaign measles vaccination coverage (%)","Campaign polio vaccination coverage (%)","Campaign Vitamin A supplementation coverage (%)","Measles vaccination coverage from surveys (%)","Polio vaccination coverage from surveys (%)","Vitamin A supplementation coverage from surveys (%)","Coverage of all basic vaccinations from surveys (%)","Number of cases or incidence rates for selected diseases relevant to the local context (cholera, measles, acute meningitis, others)","Case Fatality Ratio (CFR) for most common diseases","Percentage of healthcare facilities that deliver essential package of health services","Health-seeking behaviour from population-based surveys","Percentage of population that can access primary healthcare within one hour’s walk from dwellings","Number of HF with Basic Emergency Obstetric Care/ 500,000 population, by administrative unit","Number of skilled birth attendant personnel (doctors, nurses, certified midwives) per 10,000 people","Proportion of children U5 with diarrhea in the last two weeks","Prevalence of HIV/AIDS ","Proportion of children U5 with fever in malaria-risk areas","Proportion of children U5 who had Acute Respiratory Infections (ARI) in the last 2 weeks","Number of reported cases of cholera or Acute Watery Diarrhea (AWD)"]
["Use Admin names  from the CODs","Insert rate - Automatic classification  \n","Insert rate - Automatic classification  \n","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","No proposed threshold. Use of consensus and expert judgement to determine phase","Manually Insert Phase Number based on Classification Thresholds","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","Manually Insert Phase Number based on Classification Thresholds","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase","No proposed thresholds. Use of consensus and expert judgement to determine phase"]
["Badakhshan",2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Badghis",1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Baghlan",1,1,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Balkh",1,1,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Bamyan",2,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Dykundi",2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Farah",2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Faryab",2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Ghazni",2,2,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Ghor",2,2,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Helmand",2,2,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Hirat",1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Jawzjan",0.5,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Kabul",0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Kandahar",0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Kapisa",0.4,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Khost",0.4,0.5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Kunar",0.4,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Kunduz",0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Laghman",0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Logar",0.4,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Nangarhar",0.4,0.5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Nimroz",0.4,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Nuristan",0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Paktika",0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
["Paktya",0.4,0.5,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
["Panjsher",0.4,0.5,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2]
["Parwan",0.4,0.5,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3]
["Samangan",0.4,0.5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4]
["Sar-e-Pul",0.4,0.5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Routine/campaign measles vaccination coverage (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Routine/campaign polio vaccination coverage (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Routine/campaign Vitamin A supplementation coverage (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Measles vaccination coverage from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Polio vaccination coverage from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Vitamin A supplementation coverage from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Coverage of all basic vaccinations from surveys (%)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of cases for selected diseases relevant to the local context (e.g. cholera, measles, acute meningitis, COVID-19)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of inpatient beds per 10,000 people"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Percentage of healthcare facilitaties that deliver essential package of health services (including nutrition)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Number of skilled birth attendant personnel (doctors, nurses, certified midwives) per 10,000 people"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Health-seeking behaviour from population-based surveys"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Dysentery"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Prevalence of HIV/AIDS "]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Malaria/Fever"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Acute Respiratory Infection (ARI)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Cholera or Acute Watery Diarrhea (AWD)"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"PRIORITY: Food Security Cluster/Sector Analysis"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Food Consumption Score"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Household Hunger Scale"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Reduced Coping Strategies Index"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Household Dietary Diversity Score"]

{"sheet":"Population Figures","index":9,"n_rows":43,"n_cols":35,"rows_kept":43,"cut":false,"hidden":false,"merged":[[1,0,1,2],[1,23,1,30],[3,27,3,29],[12,32,12,34],[2,32,2,34],[1,17,1,19],[1,20,1,22],[1,3,1,14],[1,15,1,16]]}
[]
["Population Figures",null,null,"UNDER FIVE (U5) CHILDREN",null,null,null,null,null,null,null,null,null,null,null,"PREGNANT (AND LACTATING) WOMEN (PLW/PW)",null,"OLDER PEOPLE ",null,null,"ADOLESCENTS",null,null,"Acute Malnutrition Estimations to insert",null,null,null,null,null,null,null,null,null,null,"Additional estimations to insert"]
[null,"Admin 2  for \"Affected\" areas of interest"," Population Figures","Children 0-59 months as percentage of total population, %","Girls 0-59 months as percentage of total population, %","Boys 0-59 months as percentage of total population, %","Children 0-5 months  as percentage of total population, %","Girls 0-5 months as percentage of total population, %","Boys 0-5 months as percentage of total population, %","Children 6-11 months as percentage of total population, %","Girls 6-11 months as percentage of total population, %","Boys 6-11 months as percentage of total population, %","Children 6-23 months as percentage of total population, %","Girls 6-23 months as percentage of total population, %","Boys 6-23 months as percentage of total population, %","Pregnant and lactating women as percentage of total population, %","Pregnant women as percentage of total population, %","Older People as percentage of total population, %","Older Men as percentage of total population, %","Older Women as percentage of total population, %","Adolescents as percentage of total population, %","Adolescent Girls as percentage of total population, %","Adolescent Boys as percentage of total population, %","U5 Prevalence of cGAM","U5 Prevalence of GAM based on WHZ","U5 Prevalence of GAM based on MUAC","PLW Prevalence of GAM based on MUAC","U5 Prevalence of cSAM","U5 Prevalence of SAM based on WHZ","U5 Prevalence of SAM based on MUAC","PLW Prevalence of SAM based on MUAC",null,"UNDER FIVE (U5) CHILDREN"]
[null,"Use lower level of administrative areas (generall Admin 2) which reliable evidence is available","Provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","Provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, provided by OCHA and/or government at country-level","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","Insert prevalence data for only ONE of these estimations ",null,null,"If available, insert prevalence data ",null,"Incident correction factor for SAM","To discuss with Cluster partners and agree on the incident correction factor based on available guidance and evidence - check upcoming Wasting Estimation Guidance. Contact GNC-CT for further support if needed. 1.6 can be used as a starting example. "]
[null,"Badakhshan",2958374.34,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Incident correction factor for MAM","To discuss with Cluster partners and agree on the incident correction factor based on available guidance and evidence - check upcoming Wasting Estimation Guidance. Contact GNC-CT for further support if needed. 1.6 can be used as a starting example. "]
[null,"Badghis",1542806.1,0.15,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Expected proportion of SAM cases for Inpatient treatment","This is  mean coverage that is expected to be achieved by the program over the time period. To agree on expected coverage clusters usually take into account current capacity of the partners and their capacity to scale up. If mean coverage for the previous year is known, base your estimates on this number accounting for potential scale up/down. 10% can be used as a starting example. "]
[null,"Baghlan",2836525.14,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Expected number of SAM cases for Outpatient-CMAM","This is  mean coverage that is expected to be achieved by the program over the time period. To agree on expected coverage clusters usually take into account current capacity of the partners and their capacity to scale up. If mean coverage for the previous year is known, base your estimates on this number accounting for potential scale up/down. 90% can be used as a starting example. "]
[null,"Balkh",4142095.56,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Expected number of MAM cases for programming","This is  mean coverage that is expected to be achieved by the program over the time period. To agree on expected coverage clusters usually take into account current capacity of the partners and their capacity to scale up. If mean coverage for the previous year is known, base your estimates on this number accounting for potential scale up/down. 70% can be used as a starting example. "]
[null,"Bamyan",1391176.98,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Expected number of  cases for BFSP","This is  mean coverage that is expected to be achieved by the program over the time period. To agree on expected coverage clusters usually take into account current capacity of the partners and their capacity to scale up. If mean coverage for the previous year is known, base your estimates on this number accounting for potential scale up/down. 70% can be used as a starting example. "]
[null,"Dykundi",1432624.68,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Estimated proportion of disabled children under-five","For disability-disaggregated data, rough estimates should be available at country-level by the Protection Cluster; otherwise one can assume 10% for the children population can be applied to the final PiN for children under-five to obtain disability-disaggregated results.  "]
[null,"Farah",1578877.38,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Faryab",3106925.1,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,null,null,"Additional estimations to insert"]
[null,"Ghazni",3823090.56,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"PREGNANT AND LACTATING WOMEN (PLW)"]
[null,"Ghor",2147058.1800000002,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Expected proportion of MAM cases in PLW for TSFP","This calculation is usually done for a year, however on some occasions (new emergency, shorter term response plan, etc.) it can be done for different duration. 75% can be used as a starting example."]
[null,"Helmand",2877125.2199999997,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Expected number of MAM cases in PLW for BFSP","This is  mean coverage that is expected to be achieved by the program over the time period. To agree on expected coverage clusters usually take into account current capacity of the partners and their capacity to scale up. If mean coverage for the previous year is known, base your estimates on this number accounting for potential scale up/down. 100% can be used as a starting example."]
[null,"Hirat",5900680.6200000001,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15,null,null,null,null,null,null,null,null,null,null,null,"Estimated proportion of disabled PLW","For disability-disaggregated data, rough estimates should be available at country-level by the Protection Cluster; otherwise one can assume 15% for the adult population can be applied to the final PiN for PLW to obtain disability-disaggregated results.  "]
[null,"Jawzjan",1682694,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Kabul",13842577.080000002,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Kandahar",3833525.16,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Kapisa",1371629.7000000002,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Khost",1787269.5,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Kunar",1401877.8,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Kunduz",3150187.38,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Laghman",1385941.32,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Logar",1219517.1000000001,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Nangarhar",4729070.88,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Nimroz",513660.78,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Nuristan",460196.46,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Paktika",1352161.98,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Paktya",1717272,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Panjsher",477363.05999999994,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Parwan",2067932.7000000002,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Samangan",1207130.22,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[null,"Sar-e-Pul",1741271.58,0.16,null,null,1.7999999999999999E-2,null,null,1.7999999999999999E-2,null,null,5.3999999999999999E-2,null,null,7.0000000000000007E-2,0.04,0.1,null,null,0.15]
[]
[]
[]
[]
[]
[]
[]
[]
[null,"TOTAL POPULATION",{"$f":"SUM(C5:C42)","v":77678638.560000002}]

{"sheet":"PiN Physical and Mental WB","index":10,"n_rows":43,"n_cols":38,"rows_kept":43,"cut":false,"hidden":false,"merged":[[1,31,1,37],[0,0,0,20],[1,2,1,30],[3,2,3,4],[3,8,3,10],[3,19,3,21]]}
["Physical and Mental Well-being Pillar"]
[null,null,"Acute and chronic undernutrition, overnutrition - Automatic Calculations",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"BASED ON DATA FROM SCENARIO 2 CONTRIBUTING FACTORS OR SCENARIO 3 NUTRITION ANALYSIS "]
["Admin 2  for \"Affected\" areas of interest","Population figures ","Number of GAM children 0-59 mo in need based on cGAM","Number of GAM children 0-59 mo in need based on WHZ ","Number of GAM children 6-59 mo in need based on MUAC","Number of GAM girls 0-59 mo in need ","Number of GAM boys 0-59 mo in need ","Number of children 0-59 mo to be screened","Number of SAM children 0-59 mo in need based on cSAM","Number of SAM children 0-59 mo in need based on WHZ ","Number of SAM children 6-59 mo in need based on MUAC","Number of SAM girls 0-59 mo in need ","Number of SAM boys 0-59 mo in need ","Number of SAM children 0-59 mo in need of Inpatient Treatment\n","Number of SAM girls 0-59 mo in need of Inpatient treatment  ","Number of SAM boys 0-59 mo in need of Inpatient treatment ","Number of SAM children 6-59 mo in need of Outpatient Treatment","Number of SAM girls 6-59 mo in need of Outpatient treatment","Number of SAM boys 6-59 mo in need of Outpatient treatment","Number of MAM children 6-59 mo in need based on cMAM","Number of MAM children 6-59 mo in need based on WHZ ","Number of MAM children 6-59 mo in need based on MUAC","Number of MAM girls 6-59 mo in need ","Number of MAM boys 6-59 mo in need ","Number of children 6-23 mo in need of BFSP","Number of girls 6-23 mo in need of BFSP","Number of boys 6-23 mo in need of BFSP","Number of GAM PLW based on low MUAC in need","Number of PLW to be screened","Number of MAM PLW in need of TFSP","Number of MAM PLW in need of BFSP","Number of GAM  Older People in need","Number of GAM Older Women in need","Number of GAM Older Men in need","Number of Older People to be screened","Number of GAM Adolescents in need","Number of GAM Adolescent Girls in need","Number of GAM Adolescent Boys in need"]
["Automatically taken from Population Figures sheet","Automatically taken from Population Figures sheet","Automatic calculation - only ONE of these three columns should be filled based on available evidence",null,null,"Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation","Automatic calculation - only ONE of these three columns should be filled based on available evidence",null,null,"Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation - only ONE of these three columns should be filled based on available evidence",null,null,"Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation from Scenario 2 Contributing Factors or Scenario 3 Nut Analysis","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation","Automatic calculation","Automatic calculation when data is available","Automatic calculation when data is available"]
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{"sheet":"PiN Living Standards","index":11,"n_rows":40,"n_cols":20,"rows_kept":40,"cut":false,"hidden":false,"merged":[[0,0,0,17],[1,2,1,17]]}
["Living Standards Pillar"]
[null,null,"BASED ON DATA FROM SCENARIO 2 CONTRIBUTING FACTORS OR SCENARIO 3 NUTRITION ANALYSIS "]
["Admin 2  for \"Affected\" areas of interest","Population figures ","Number of STUNTED children 0-59 mo in need","Number of STUNTED girls 0-59 mo in need","Number of STUNTED boys 0-59 mo in need","Number of overweight children 0-59 months in need","Number of overweight girls 0-59 months in need","Number of overweight boys 0-59 months in need","Number of children 0-5 months in need of EBF support","Number of girls 0-5 months in need of EBF support","Number of boys 0-5 months in need of EBF support","Number of children 6-23 months in need of Dietary Diversity support  (or Minimum Acceptable Diet for children 6-23 months if available) ","Number of girls 6-23 months in need of Dietary Diversity support (or Minimum Acceptable Diet for children 6-23 months if available) ","Number of boys 6-23 months in need of Dietary Diversity support (or Minimum Acceptable Diet for children 6-23 months if available) ","Number of children 0-5 months in need of BMS support","Number of girls 0-5 months in need of BMS support","Number of boys 0-5 months in need of BMS support","Number of children 6-11 months in need of BMS support","Number of girls 6-11 months in need of BMS support","Number of boys 6-11 months in need of BMS support"]
["Automatically taken from Population Figures sheet","Automatically taken from Population Figures sheet","Automatic Calculation","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available"]
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[{"$f":"'Population Figures'!B36","v":0},{"$f":"'Population Figures'!C36","v":0},null,{"$f":"IF('Population Figures'!E36<>\"\", B36*'Population Figures'!E36*'Scenario 2 Contributing Fact'!B39, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F36<>\"\", B36*'Population Figures'!F36*'Scenario 2 Contributing Fact'!B39, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!C39<>\"\", B36*('Population Figures'!D36)*'Scenario 2 Contributing Fact'!C39, B36*('Population Figures'!D36)*'Scenario 3 - Nut. Analysis'!E35)","v":0},{"$f":"IF('Population Figures'!E36<>\"\", B36*('Population Figures'!E36)*'Scenario 2 Contributing Fact'!C39, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F36<>\"\", B36*('Population Figures'!F36)*'Scenario 2 Contributing Fact'!C39, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!H39<>\"\", B36*'Population Figures'!G36*(1-'Scenario 2 Contributing Fact'!H39),B36*'Population Figures'!G36*(1-'Scenario 3 - Nut. Analysis'!B35))","v":0},{"$f":"IF('Population Figures'!H36<>\"\", B36*'Population Figures'!H36*'Scenario 2 Contributing Fact'!H39, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I36<>\"\", B36*'Population Figures'!I36*'Scenario 2 Contributing Fact'!H39, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!K39<>\"\", B36*'Population Figures'!M36*(1-'Scenario 2 Contributing Fact'!K39),B36*'Population Figures'!M36*(1-'Scenario 3 - Nut. Analysis'!C35))","v":0},{"$f":"IF('Population Figures'!N36<>\"\", B36*'Population Figures'!N36*'Scenario 2 Contributing Fact'!K39, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!O36<>\"\", B36*'Population Figures'!O36*'Scenario 2 Contributing Fact'!K39, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!I39<>\"\", B36*'Population Figures'!G36*(1-'Scenario 2 Contributing Fact'!I39), B36*'Population Figures'!G36*(1-'Scenario 3 - Nut. Analysis'!H35))","v":0},{"$f":"IF('Population Figures'!H36<>\"\", B36*'Population Figures'!H36*'Scenario 2 Contributing Fact'!I39, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I36<>\"\", B36*'Population Figures'!I36*'Scenario 2 Contributing Fact'!I39, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!J39<>\"\", B36*'Population Figures'!J36*(1-'Scenario 2 Contributing Fact'!J39),B36*'Population Figures'!J36*(1-'Scenario 3 - Nut. Analysis'!I35))","v":0},{"$f":"IF('Population Figures'!K36<>\"\", B36*'Population Figures'!K36*'Scenario 2 Contributing Fact'!J39, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!L36<>\"\", B36*'Population Figures'!L36*'Scenario 2 Contributing Fact'!J39, \"N/A\")","v":"N/A"}]
[{"$f":"'Population Figures'!B37","v":0},{"$f":"'Population Figures'!C37","v":0},null,{"$f":"IF('Population Figures'!E37<>\"\", B37*'Population Figures'!E37*'Scenario 2 Contributing Fact'!B40, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F37<>\"\", B37*'Population Figures'!F37*'Scenario 2 Contributing Fact'!B40, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!C40<>\"\", B37*('Population Figures'!D37)*'Scenario 2 Contributing Fact'!C40, B37*('Population Figures'!D37)*'Scenario 3 - Nut. Analysis'!E36)","v":0},{"$f":"IF('Population Figures'!E37<>\"\", B37*('Population Figures'!E37)*'Scenario 2 Contributing Fact'!C40, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F37<>\"\", B37*('Population Figures'!F37)*'Scenario 2 Contributing Fact'!C40, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!H40<>\"\", B37*'Population Figures'!G37*(1-'Scenario 2 Contributing Fact'!H40),B37*'Population Figures'!G37*(1-'Scenario 3 - Nut. Analysis'!B36))","v":0},{"$f":"IF('Population Figures'!H37<>\"\", B37*'Population Figures'!H37*'Scenario 2 Contributing Fact'!H40, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I37<>\"\", B37*'Population Figures'!I37*'Scenario 2 Contributing Fact'!H40, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!K40<>\"\", B37*'Population Figures'!M37*(1-'Scenario 2 Contributing Fact'!K40),B37*'Population Figures'!M37*(1-'Scenario 3 - Nut. Analysis'!C36))","v":0},{"$f":"IF('Population Figures'!N37<>\"\", B37*'Population Figures'!N37*'Scenario 2 Contributing Fact'!K40, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!O37<>\"\", B37*'Population Figures'!O37*'Scenario 2 Contributing Fact'!K40, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!I40<>\"\", B37*'Population Figures'!G37*(1-'Scenario 2 Contributing Fact'!I40), B37*'Population Figures'!G37*(1-'Scenario 3 - Nut. Analysis'!H36))","v":0},{"$f":"IF('Population Figures'!H37<>\"\", B37*'Population Figures'!H37*'Scenario 2 Contributing Fact'!I40, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I37<>\"\", B37*'Population Figures'!I37*'Scenario 2 Contributing Fact'!I40, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!J40<>\"\", B37*'Population Figures'!J37*(1-'Scenario 2 Contributing Fact'!J40),B37*'Population Figures'!J37*(1-'Scenario 3 - Nut. Analysis'!I36))","v":0},{"$f":"IF('Population Figures'!K37<>\"\", B37*'Population Figures'!K37*'Scenario 2 Contributing Fact'!J40, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!L37<>\"\", B37*'Population Figures'!L37*'Scenario 2 Contributing Fact'!J40, \"N/A\")","v":"N/A"}]
[{"$f":"'Population Figures'!B38","v":0},{"$f":"'Population Figures'!C38","v":0},null,{"$f":"IF('Population Figures'!E38<>\"\", B38*'Population Figures'!E38*'Scenario 2 Contributing Fact'!B41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F38<>\"\", B38*'Population Figures'!F38*'Scenario 2 Contributing Fact'!B41, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!C41<>\"\", B38*('Population Figures'!D38)*'Scenario 2 Contributing Fact'!C41, B38*('Population Figures'!D38)*'Scenario 3 - Nut. Analysis'!E37)","v":0},{"$f":"IF('Population Figures'!E38<>\"\", B38*('Population Figures'!E38)*'Scenario 2 Contributing Fact'!C41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F38<>\"\", B38*('Population Figures'!F38)*'Scenario 2 Contributing Fact'!C41, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!H41<>\"\", B38*'Population Figures'!G38*(1-'Scenario 2 Contributing Fact'!H41),B38*'Population Figures'!G38*(1-'Scenario 3 - Nut. Analysis'!B37))","v":0},{"$f":"IF('Population Figures'!H38<>\"\", B38*'Population Figures'!H38*'Scenario 2 Contributing Fact'!H41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I38<>\"\", B38*'Population Figures'!I38*'Scenario 2 Contributing Fact'!H41, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!K41<>\"\", B38*'Population Figures'!M38*(1-'Scenario 2 Contributing Fact'!K41),B38*'Population Figures'!M38*(1-'Scenario 3 - Nut. Analysis'!C37))","v":0},{"$f":"IF('Population Figures'!N38<>\"\", B38*'Population Figures'!N38*'Scenario 2 Contributing Fact'!K41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!O38<>\"\", B38*'Population Figures'!O38*'Scenario 2 Contributing Fact'!K41, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!I41<>\"\", B38*'Population Figures'!G38*(1-'Scenario 2 Contributing Fact'!I41), B38*'Population Figures'!G38*(1-'Scenario 3 - Nut. Analysis'!H37))","v":0},{"$f":"IF('Population Figures'!H38<>\"\", B38*'Population Figures'!H38*'Scenario 2 Contributing Fact'!I41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I38<>\"\", B38*'Population Figures'!I38*'Scenario 2 Contributing Fact'!I41, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!J41<>\"\", B38*'Population Figures'!J38*(1-'Scenario 2 Contributing Fact'!J41),B38*'Population Figures'!J38*(1-'Scenario 3 - Nut. Analysis'!I37))","v":0},{"$f":"IF('Population Figures'!K38<>\"\", B38*'Population Figures'!K38*'Scenario 2 Contributing Fact'!J41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!L38<>\"\", B38*'Population Figures'!L38*'Scenario 2 Contributing Fact'!J41, \"N/A\")","v":"N/A"}]
[{"$f":"'Population Figures'!B39","v":0},{"$f":"'Population Figures'!C39","v":0},null,{"$f":"IF('Population Figures'!E39<>\"\", B39*'Population Figures'!E39*'Scenario 2 Contributing Fact'!B42, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F39<>\"\", B39*'Population Figures'!F39*'Scenario 2 Contributing Fact'!B42, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!C42<>\"\", B39*('Population Figures'!D39)*'Scenario 2 Contributing Fact'!C42, B39*('Population Figures'!D39)*'Scenario 3 - Nut. Analysis'!E38)","v":0},{"$f":"IF('Population Figures'!E39<>\"\", B39*('Population Figures'!E39)*'Scenario 2 Contributing Fact'!C42, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F39<>\"\", B39*('Population Figures'!F39)*'Scenario 2 Contributing Fact'!C42, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!H42<>\"\", B39*'Population Figures'!G39*(1-'Scenario 2 Contributing Fact'!H42),B39*'Population Figures'!G39*(1-'Scenario 3 - Nut. Analysis'!B38))","v":0},{"$f":"IF('Population Figures'!H39<>\"\", B39*'Population Figures'!H39*'Scenario 2 Contributing Fact'!H42, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I39<>\"\", B39*'Population Figures'!I39*'Scenario 2 Contributing Fact'!H42, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!K42<>\"\", B39*'Population Figures'!M39*(1-'Scenario 2 Contributing Fact'!K42),B39*'Population Figures'!M39*(1-'Scenario 3 - Nut. Analysis'!C38))","v":0},{"$f":"IF('Population Figures'!N39<>\"\", B39*'Population Figures'!N39*'Scenario 2 Contributing Fact'!K42, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!O39<>\"\", B39*'Population Figures'!O39*'Scenario 2 Contributing Fact'!K42, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!I42<>\"\", B39*'Population Figures'!G39*(1-'Scenario 2 Contributing Fact'!I42), )","v":0},{"$f":"IF('Population Figures'!H39<>\"\", B39*'Population Figures'!H39*'Scenario 2 Contributing Fact'!I42, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!I39<>\"\", B39*'Population Figures'!I39*'Scenario 2 Contributing Fact'!I42, \"N/A\")","v":"N/A"},{"$f":"IF('Scenario 2 Contributing Fact'!J42<>\"\", B39*'Population Figures'!J39*(1-'Scenario 2 Contributing Fact'!J42),B39*'Population Figures'!J39*(1-'Scenario 3 - Nut. Analysis'!I38))","v":0},{"$f":"IF('Population Figures'!K39<>\"\", B39*'Population Figures'!K39*'Scenario 2 Contributing Fact'!J42, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!L39<>\"\", B39*'Population Figures'!L39*'Scenario 2 Contributing Fact'!J42, \"N/A\")","v":"N/A"}]
["TOTAL ",{"$f":"SUM(B5:B39)","v":77678638.560000002},{"$f":"SUM(C5:C39)","v":0},0,0,0,0,0,1398215.4940799996,0,0,4194646.4822399998,0,0,1398215.4940799996,0,0,1398215.4940799996,0,0]

{"sheet":"PiN Micronutrient Deficiency","index":12,"n_rows":43,"n_cols":46,"rows_kept":43,"cut":false,"hidden":false,"merged":[[1,2,1,14],[0,2,0,36],[1,15,1,45]]}
[null,null,"Micronutrient Deficiency - (feed into Physical and Mental Well-being Pillar)"]
[null,null,"Estimations to insert",null,null,null,null,null,null,null,null,null,null,null,null,"Micronutrient Deficiencies - BASED ON DATA FROM SCENARIO 2 CONTRIBUTING FACTORS OR SCENARIO 3 NUTRITION ANALYSIS"]
["Admin 2  for \"Affected\" areas of interest","Population figures ","Proportion of children 6-59 months having received micronutrient supplements that contain adequate iron","Proportion of PW having received micronutrient supplements that contain adequate iron","Proportion of PW having received calcium supplements during pregnancy","Proportion of PW having received multiple micronutrient supplements during pregnancy","Proportion of PLW having received balanced energy protein supplements during pregnancy and breastfeeding","Vitamin A deficiency prevalence in children 6-59 months ","Proportion of children 6-59 months in need of Vitamin A supplementation","Iodine deficiency prevalence in children 6-23 months","Iodine deficiency prevalence in PLW","Iodine deficiency prevalence in Older People","Proportion of children 6-59 months in need of Zinc supplementation","Proportion of children 12-59 months in need of deworming","Other - to be defined","Number of anemic children 6-59 months ","Number of anemic girls 6-59 months ","Number of anemic boys 6-59 months ","Number of anemic PW in need","Number of children 6-59 months in need of micronutrient supplements that contain adequate iron","Number of girls 6-59 months in need of micronutrient supplements that contain adequate iron","Number of boys 6-59 months in need of micronutrient supplements that contain adequate iron","Number of PW in need of micronutrient supplements that contain adequate iron","Number of PW in need of calcium supplements during pregnancy","Number of PW in need of multiple micronutrient supplements during pregnancy","Number of PLW in need of balanced energy protein supplements during pregnancy and breastfeeding","Number of Vitamin A deficient children 6-59 months in need","Number of Vitamin A deficient girls 6-59 months in need","Number of Vitamin A deficient boys 6-59 months in need","Number of children 6-59 months in need of Vitamin A supplementation","Number of girls 6-59 months in need of Vitamin A supplementation","Number of boys 6-59 months in need of Vitamin A supplementation","Number of iodine deficient children 6-23 months in need","Number of iodine deficient girls 6-23 months in need","Number of iodine deficient boys 6-23 months in need","Number of iodine deficient PLW in need","Number of iodine deficient Older People in need","Number of iodine deficient Older Women in need","Number of iodine deficient Older Men in need","Number of children 6-59 months in need of Zinc supplementation","Number of girls 6-59 months in need of Zinc supplementation","Number of boys 6-59 months in need of Zinc supplementation","Number of children 12-59 months in need of deworming","Number of girls 12-59 months in need of deworming","Number of boys 6-59 months in need of deworming","Other - to be defined"]
["Automatically taken from Population Figures sheet","Automatically taken from Population Figures sheet","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","If available, insert prevalence data ","Automatic calculation from Scenario 3 Nut Analysis","Automatic calculation when data is available","Automatic calculation when data is available","Automatic calculation from Scenario 3 Nut Analysis","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic Calculation even with missing data! (given formula)","Automatic Calculation even with missing data! (given formula)","Automatic Calculation even with missing data! (given formula)","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","Automatic Calculation even with missing data! (given formula)","Automatic calculation when data is available","Automatic calculation when data is available","TO ADD CALCULATION"]
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[{"$f":"'Population Figures'!B42","v":0},{"$f":"'Population Figures'!C42","v":0},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"IF('Scenario 3 - Nut. Analysis'!F41<>\"\",B42*('Population Figures'!D42-'Population Figures'!G42)*'Scenario 3 - Nut. Analysis'!F41,B42*('Population Figures'!D42-'Population Figures'!G42)*'Scenario 3 - Nut. Analysis'!F41*'Scenario 2 Contributing Fact'!D45)","v":0},{"$f":"IF('Population Figures'!E42<>\"\", B42*ABS('Population Figures'!E42-'Population Figures'!H42)*'Scenario 3 - Nut. Analysis'!F41, \"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F42<>\"\",B42*ABS('Population Figures'!F42-'Population Figures'!I42)*'Scenario 3 - Nut. Analysis'!F41,\"N/A\")","v":"N/A"},{"$f":"IF('Scenario 3 - Nut. Analysis'!G41<>\"\",B42*'Population Figures'!Q42*'Scenario 3 - Nut. Analysis'!G41,B42*'Population Figures'!Q42*'Scenario 2 Contributing Fact'!E45)","v":0},{"$f":"B42*ABS('Population Figures'!D42-'Population Figures'!G42)*(1-C42)","v":0},{"$f":"IF('Population Figures'!E42<>\"\",B42*(ABS('Population Figures'!E42-'Population Figures'!H42))*(1-C42),\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F42<>\"\",B42*(ABS('Population Figures'!F42-'Population Figures'!I42)*0.9)*(1-C42),\"N/A\")","v":"N/A"},{"$f":"B42*('Population Figures'!Q42)*(1-D42)","v":0},{"$f":"B42*('Population Figures'!Q42)*(1-E42)","v":0},{"$f":"B42*('Population Figures'!Q42)*(1-F42)","v":0},{"$f":"B42*'Population Figures'!P42*(1-G42)","v":0},{"$f":"B42*ABS('Population Figures'!D42-'Population Figures'!G42)*H42","v":0},{"$f":"IF('Population Figures'!E42<>\"\",B42*(ABS('Population Figures'!E42-'Population Figures'!H42))*H42,\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F42<>\"\",B42*(ABS('Population Figures'!F42-'Population Figures'!I42))*H42,\"N/A\")","v":"N/A"},{"$f":"B42*ABS('Population Figures'!D42-'Population Figures'!G42)*(1-I42)","v":0},{"$f":"IF('Population Figures'!E42<>\"\",B42*(ABS('Population Figures'!E42-'Population Figures'!H42))*(1-I42),\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F42<>\"\",B42*(ABS('Population Figures'!F42-'Population Figures'!I42))*(1-I42),\"N/A\")","v":"N/A"},{"$f":"B42*('Population Figures'!M42)*J42","v":0},{"$f":"IF('Population Figures'!N42<>\"\",B42*('Population Figures'!N42)*J42,\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!O42<>\"\",B42*('Population Figures'!O42)*J42,\"N/A\")","v":"N/A"},{"$f":"B42*'Population Figures'!P42*K42","v":0},{"$f":"B42*'Population Figures'!R42*L42","v":0},{"$f":"IF('Population Figures'!S42<>\"\",B42*'Population Figures'!S42*L42,\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!T42<>\"\",B42*'Population Figures'!T42*L42,\"N/A\")","v":"N/A"},{"$f":"B42*ABS('Population Figures'!D42-'Population Figures'!G42)*(1-M42)","v":0},{"$f":"IF('Population Figures'!E42<>\"\",B42*(ABS('Population Figures'!E42-'Population Figures'!H42))*(1-M42),\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F42<>\"\",B42*(ABS('Population Figures'!F42-'Population Figures'!I42))*(1-M42),\"N/A\")","v":"N/A"},{"$f":"B42*ABS('Population Figures'!D42-'Population Figures'!G42-'Population Figures'!J42)*(1-N42)","v":0},{"$f":"IF('Population Figures'!E42<>\"\",B42*(ABS('Population Figures'!E42-'Population Figures'!H42-'Population Figures'!K42))*(1-N42),\"N/A\")","v":"N/A"},{"$f":"IF('Population Figures'!F42<>\"\",B42*(ABS('Population Figures'!F42-'Population Figures'!I42-'Population Figures'!L42))*(1-N42),\"N/A\")","v":"N/A"}]
["TOTAL",{"$f":"SUM(B5:B42)","v":77678638.560000002},null,null,null,null,null,null,null,null,null,null,null,null,null,{"$f":"SUM(P5:P42)","v":0},{"$f":"SUM(Q5:Q42)","v":0},0,0,10464191.683794001,0,0,3076074.0869759996,3045002.6315519991,3045002.6315519991,5328754.6052160012,220298.77229040005,0,0,10794639.842229601,0,0,62919.697233599989,0,0,81562.570487999998,116517.95784,0,0,10849714.535302199,0,0,9472472.2736334018,0,0,0]

{"sheet":"PiN Total","index":13,"n_rows":38,"n_cols":9,"rows_kept":38,"cut":false,"hidden":false,"merged":[[0,1,0,4],[0,5,0,8],[2,1,2,4]]}
[null,"Total PiN for Nutrition",null,null,null,"HRP Figures for Nutrition"]
[null,"Female","Male","Total","Disability-Disaggregated","Targets (%)","Total TARGETED","Reached (%)","Total REACHED"]
["To fill out according to country needs","Automatically taken from PiN sheets",null,null,null,"Insert relevant % per nutrition intervention","(based on Total PiN)","Insert relevant % per nutrition intervention","(based on Total TARGETED)"]
["PiN Physical and Mental WB"]
[{"$f":"'PiN Physical and Mental WB'!N3","v":"Number of SAM children 0-59 mo in need of Inpatient Treatment\n"},{"$f":"'PiN Physical and Mental WB'!O43","v":0},{"$f":"'PiN Physical and Mental WB'!P43","v":0},{"$f":"'PiN Physical and Mental WB'!N43","v":0},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D5","v":0},{"$f":"'Population Figures'!AI6","v":0},{"$f":"D5*F5","v":0},null,{"$f":"G5*H5","v":0}]
[{"$f":"'PiN Physical and Mental WB'!Q3","v":"Number of SAM children 6-59 mo in need of Outpatient Treatment"},{"$f":"'PiN Physical and Mental WB'!R43","v":0},{"$f":"'PiN Physical and Mental WB'!S43","v":0},{"$f":"'PiN Physical and Mental WB'!Q43","v":0},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D6","v":0},{"$f":"'Population Figures'!AI7","v":0},{"$f":"D6*F6","v":0},null,{"$f":"G6*H6","v":0}]
[{"$f":"'PiN Physical and Mental WB'!Y3","v":"Number of children 6-23 mo in need of BFSP"},{"$f":"'PiN Physical and Mental WB'!Z43","v":0},{"$f":"'PiN Physical and Mental WB'!AA43","v":0},{"$f":"'PiN Physical and Mental WB'!Y43","v":0},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D7","v":0},{"$f":"'Population Figures'!AI9","v":0},0,null,0]
[{"$f":"'PiN Physical and Mental WB'!AD3","v":"Number of MAM PLW in need of TFSP"},{"$f":"'PiN Physical and Mental WB'!AD43","v":0},null,{"$f":"B8","v":0},{"$f":"'Population Figures'!$AI$16*'PiN Total'!D8","v":0},null,0,null,0]
[{"$f":"'PiN Physical and Mental WB'!AE3","v":"Number of MAM PLW in need of BFSP"},{"$f":"'PiN Physical and Mental WB'!AE43","v":0},null,{"$f":"B9","v":0},{"$f":"'Population Figures'!$AI$16*'PiN Total'!D9","v":0},null,0,null,0]
[]
[]
["*Certain formulas work even with missing data!"]
["PiN Living Standards*"]
[{"$f":"'PiN Living Standards'!I3","v":"Number of children 0-5 months in need of EBF support"},{"$f":"'PiN Living Standards'!J40","v":0},{"$f":"'PiN Living Standards'!K40","v":0},{"$f":"'PiN Living Standards'!I40","v":1398215.4940799996},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D14","v":0}]
[{"$f":"'PiN Living Standards'!L3","v":"Number of children 6-23 months in need of Dietary Diversity support  (or Minimum Acceptable Diet for children 6-23 months if available) "},{"$f":"'PiN Living Standards'!M40","v":0},{"$f":"'PiN Living Standards'!N40","v":0},{"$f":"'PiN Living Standards'!L40","v":4194646.4822399998},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D15","v":0}]
[{"$f":"'PiN Living Standards'!O3","v":"Number of children 0-5 months in need of BMS support"},{"$f":"'PiN Living Standards'!P40","v":0},{"$f":"'PiN Living Standards'!Q40","v":0},{"$f":"'PiN Living Standards'!O40","v":1398215.4940799996},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D16","v":0}]
[{"$f":"'PiN Living Standards'!R3","v":"Number of children 6-11 months in need of BMS support"},{"$f":"'PiN Living Standards'!S40","v":0},{"$f":"'PiN Living Standards'!T40","v":0},{"$f":"'PiN Living Standards'!R40","v":1398215.4940799996},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D17","v":0}]
[]
[]
["*Certain formulas work even with missing data!"]
["PiN Micronutrient Deficiency*"]
[{"$f":"'PiN Micronutrient Deficiency'!T3","v":"Number of children 6-59 months in need of micronutrient supplements that contain adequate iron"},{"$f":"'PiN Micronutrient Deficiency'!U43","v":0},{"$f":"'PiN Micronutrient Deficiency'!V43","v":0},{"$f":"'PiN Micronutrient Deficiency'!T43","v":10464191.683794001},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D22","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!W3","v":"Number of PW in need of micronutrient supplements that contain adequate iron"},{"$f":"'PiN Micronutrient Deficiency'!W43","v":3076074.0869759996},null,{"$f":"B23","v":3076074.0869759996},{"$f":"'Population Figures'!$AI$16*'PiN Total'!D23","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!X3","v":"Number of PW in need of calcium supplements during pregnancy"},{"$f":"'PiN Micronutrient Deficiency'!X43","v":3045002.6315519991},null,{"$f":"B24","v":3045002.6315519991},{"$f":"'Population Figures'!$AI$16*'PiN Total'!D24","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!Y3","v":"Number of PW in need of multiple micronutrient supplements during pregnancy"},{"$f":"'PiN Micronutrient Deficiency'!Y43","v":3045002.6315519991},null,3045002.6315519991,{"$f":"'Population Figures'!$AI$16*'PiN Total'!D25","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!Z3","v":"Number of PLW in need of balanced energy protein supplements during pregnancy and breastfeeding"},{"$f":"'PiN Micronutrient Deficiency'!Z43","v":5328754.6052160012},null,5328754.6052160012,{"$f":"'Population Figures'!$AI$16*'PiN Total'!D26","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!AD3","v":"Number of children 6-59 months in need of Vitamin A supplementation"},{"$f":"'PiN Micronutrient Deficiency'!AE43","v":0},{"$f":"'PiN Micronutrient Deficiency'!AF43","v":0},{"$f":"'PiN Micronutrient Deficiency'!AD43","v":10794639.842229601},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D27","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!AN3","v":"Number of children 6-59 months in need of Zinc supplementation"},{"$f":"'PiN Micronutrient Deficiency'!AO43","v":0},{"$f":"'PiN Micronutrient Deficiency'!AP43","v":0},{"$f":"'PiN Micronutrient Deficiency'!AN43","v":10849714.535302199},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D28","v":0}]
[{"$f":"'PiN Micronutrient Deficiency'!AQ3","v":"Number of children 12-59 months in need of deworming"},{"$f":"'PiN Micronutrient Deficiency'!AR43","v":0},{"$f":"'PiN Micronutrient Deficiency'!AS43","v":0},{"$f":"'PiN Micronutrient Deficiency'!AQ43","v":9472472.2736334018},{"$f":"'Population Figures'!$AI$10*'PiN Total'!D29","v":0}]
[]
[]
["Totals by Target Group ","Female","Male","Total","Disability-Disaggregated"]
["Children Under-five",{"$f":"MAX(B5:B7,B14:B17,B22,B27:B29)","v":0},{"$f":"MAX(C5:C7,C14:C17,C22,C27:C29)","v":0},{"$f":"MAX(D5:D7,D14:D17,D22,D27:D29)","v":10849714.535302199},{"$f":"MAX(E5:E7,E14:E17,E22,E27:E29)","v":0}]
["PLW",{"$f":"MAX(B23:B26,B8:B9)","v":5328754.6052160012},{"$f":"MAX(C23:C26,C8:C9)","v":0},{"$f":"SUM(B34:C34)","v":5328754.6052160012},{"$f":"MAX(E8:E9,E23:E26)","v":0}]
["Older People"]
["Children 5-9 years old"]
["Adolescents"]
["Other"]

{"sheet":"Selected supplies","index":14,"n_rows":14,"n_cols":10,"rows_kept":14,"cut":false,"hidden":true,"merged":[]}
["Selected supplies forecasting"]
["Important note: the purpose of this supplies calculator is to allow NCCs to oversee how many of the main commodities is needed to cover cluster targets. If it is to be used for programme planning it should be adapted"]
["For supplies forecasting for the SAM treatment as per UNICEF recommendations, refer to \"Nutrition supplies forecast sheet 2012\" by UNICEF (available from UNICEF intranet)"]
[]
["Programme","Target, beneficiaries","Supply item","Number of items in one carton","Number of items per one beneficiary","Net weight of 1 carton, kg","Total number of supply items needed","Total number of cartons needed","Total weight (net), Mt","Comments and notes"]
["SAM treatment (outpatient), children 6-59 mo",{"$f":"SUM(#REF!)","v":{"$error":"#REF!"}},"Therapeutic spread, sachet 92g/CAR-150",150,150,13.8,{"$f":"B6*E6","v":{"$error":"#REF!"}},{"$f":"B6*E6/D6","v":{"$error":"#REF!"}},{"$f":"H6*F6/1000","v":{"$error":"#REF!"}},"UNICEF recommended supplies for treatment of one child is 136 sachets +10% leakage, amounting for total 150 sachets (one carton) per one child. Of 100 SAM cases it is expected that 80% will be referred to outpatient treatment and 20 % for inpatient care, that will later be transitioned to outpatient care, hence the supplies are calculated on 100% of the target"]
["Inpatient SAM treatment (phase 1), children 0-59 mo",{"$f":"B6*0.2","v":{"$error":"#REF!"}},"F-75 therap.diet,sachet, 102.5g/CAR-120",120,13,{"$f":"0.1025*120","v":12.299999999999999},{"$f":"B7*E7","v":{"$error":"#REF!"}},{"$f":"B7*E7/D7","v":{"$error":"#REF!"}},{"$f":"H7*F7/1000","v":{"$error":"#REF!"}},"UNICEF recommended supplies for treatment of one child is 12 sachets +10% leakage, amounting for total 13 sachets per one child. Of 100% SAM cases it is expected that 80% will be referred to outpatient treatment and 20 % for inpatient care, "]
["Inpatient SAM treatment (phase 2), children 0-59 mo",{"$f":"B6*0.2","v":{"$error":"#REF!"}},"  F-100 therap. diet, sachet,114g/CAR-90",90,4.5,{"$f":"0.114*90","v":10.26},{"$error":"#REF!"},{"$error":"#REF!"},{"$error":"#REF!"},"The provided calculation is for when inpatient care is followed by outpatient care with RUTF. It estimates the quantity needed to cobver transition and exceptions (children who are anable to take RUTF in phase 2). UNICEF recommended supplies for transitioning phase 2 of one child is 4 sachets +10% leakage, amounting for total 4.5 sachets per one child. Of 100% SAM cases it is expected that 80% will be referred to outpatient treatment and 20 % for inpatient care, "]
["MAM treatment, children 6-59 mo",{"$f":"SUM(#REF!)","v":{"$error":"#REF!"}},"Supplementary spread,sachet 92g/CAR-150 ",150,150,13.8,{"$f":"B9*E9","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"H9*F9/1000","v":{"$error":"#REF!"}},"While ready to use Ready to use LNSs are the standrad in emergencies, it is still possible that  CSB++/WSB++ is provided  /preferred ; Standard  ration would be 200 g /p/day ( includes provision for sharing) ; this needs to be added as an option"]
["AM treatment, PLW",{"$f":"SUM(#REF!)","v":{"$error":"#REF!"}},"Supercereal (CSB+) /BAG-25kg ",1,0.6,25,{"$f":"B10*E10","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"H10*F10/1000","v":{"$error":"#REF!"}},"The standard ration foresees Supercereal   200-250 g / p / d plus 20-25 g oil, amounting for about 15 kg of CSB+  (60% of one 25kg bag) per one woman per treatment"]
["BSFP, children",{"$f":"SUM(#REF!)","v":{"$error":"#REF!"}},"Supercereal Plus (CSB++)/BAG-1,5KG ",1,"Enter here number of items per beneficiary (agreed in country)",1.5,{"$f":"$B$11*E11","v":{"$error":"#REF!"}},{"$error":"#REF!"},{"$f":"H11*F11/1000","v":{"$error":"#REF!"}}]
[null,null,"OR Supplementary spread, pot. 325g/CAR-36",36,50,{"$f":"36*0.325","v":11.700000000000001},{"$f":"$B$11*E12","v":{"$error":"#REF!"}},0,{"$f":"H12*F12/1000","v":0},"Medium quantity LNS  is usually given in 46 g ( 50 g) sachets / p / day  , however it can vary depending on resourses available"]
["IYCF-E (artificial feeding), children 0-5 months","Enter here number of target beneficiaries","Ready to use infant formula, bottle 200g / pack-6",6,675,{"$f":"200*6","v":1200},{"$f":"$B$13*E13","v":{"$error":"#VALUE!"}},{"$error":"#VALUE!"},{"$f":"H13*F13/1000","v":{"$error":"#VALUE!"}},"For calculating purposes, an average of 750ml per day of liquid formula is suggested (total 135 liter for 6 months)"]
[null,null,"OR Powdered infant formula / CAN 400g",1,50,400,{"$f":"$B$13*E14","v":{"$error":"#VALUE!"}},0,{"$f":"H14*F14/1000","v":0},"For calculating purposes, an average of 50 cans with 400g powdered milk is suggested (total 20kg for 6 months)."]