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  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2005-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the food insecurity and malnutrition trend observed during the Integrated Context Analysis (ICA) run in Mali in 2014. Data sources: Comprehensive Food Security Vulnerability Analysis (CFSVA) 2005-2009, EBSAN 2007-2008, Emergency Food Security Assessment (EFSA) 2011-2013, Fewsnet, Demographic and Health Survey (DHS) 2006-2012/13, Standardized Monitoring and Assessment of Relief and Transition (SMART) 2011-2013, MIC 2010. The main indicators used for the analysis were, among others, the Fewsnet food security classification, the number of food security rounds where more than 30% of the households were found in conditions of food insecurity and the prevalence of Global Acute Malnutrition above 10%. Cette couche contient les données d’une analyse de tendance de la sécurité alimentaire et malnutrition – par unité administrative de deuxième niveau – employée pendant l’Analyse Integrée du Contexte (AIC) executée en Mali en 2014. Sources des données: Comprehensive Food Security Vulnerability Analysis (CFSVA) 2005-2009, EBSAN 2007-2008, Emergency Food Security Assessment (EFSA) 2011-2013, Fewsnet, Demographic and Health Survey (DHS) 2006-2012/13, Standardized Monitoring and Assessment of Relief and Transition (SMART) 2011-2013, MIC 2010. Les indicateurs principaux utilisés pour l’analyse étaient, parmi d'autres, la classification Fewsnet d'insécurité alimentaire, le nombre de sondages avec au-dessus de 30% des ménages en conditions d'insécurité alimentaire et la prévalence de Malnutrition Aïgue Globale (MAG). Original dataset title: ICA Mali, 2014 - Food Insecurity and Malnutrition Trend, 2005-2013
  • Updated 27 January 2020 | Dataset date: January 01, 2011-December 31, 2015
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Mauritania i 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. The main indicator used for the analysis was the average prevalence of Global Acute Malnutrition (GAM), classified according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Niger entre 2017 et 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Food Security Monitoring System (FSMS) & Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2011-2015. L’indicateur principale utilisé pour l’analyse était la prévalence moyenne de Malnutrition Aigüe Globale (MAG), classifiée selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Mauritania, 2017 - Prevalence of Global Acute Malnutrition, 2011-2015
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2010-December 31, 2010
    This dataset updates: As needed
    This layer contains information about the malnutrition levels estimated during the Integrated Context Analysis (ICA) run in Malawi in 2014. Data source: Demographic and Health Survey (DHS), 2010. The key indicators used for the analysis were the prevalence of stunting and Global Acute Malnutrition (GAM) in children aged below 5 years. Original dataset title: ICA Malawi, 2014 - Malnutrition, 2010
  • Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: As needed
    No abstract provided Original dataset title: Utilization: Prevalence of chronic malnutrition among children under five years old, National Demographic and Health Survey 2012
  • Updated 27 January 2020 | Dataset date: January 01, 2012-December 31, 2012
    This dataset updates: As needed
    No abstract provided Original dataset title: Utilization: Prevalence of acute malnutrition among children under five years old, National Demographic and Health Survey 2012
  • Updated 27 January 2020 | Dataset date: January 01, 2017-December 31, 2017
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Chad in 2017. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM), with a thresholds set according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Tchad en 2017. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2016. L’indicateur principale utilisé pour l’analyse était la prévalence de Malnutrition Aigüe Globale (MAG), avec des seuils d’alerte fixés selon les normes et la gamme de valeurs classés de l’OMS 2006. Original dataset title: ICA Chad, 2017 - Prevalence of Global Acute Malnutrition, 2017
  • Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the malnutrition status observed during the Integrated Context Analysis (ICA) run in Burundi between 2014 and 2015. Data source: Multiple Indicator Cluster Survey (MICS), 2014. The key indicator used for the analysis was the prevalence of stunting in children below 5 years of age. Original dataset title: ICA Burundi, 2014 - Prevalence of Stunting, 2014
  • 10+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2016-December 31, 2016
    This dataset updates: As needed
    This layer contains information about the malnutrition levels - by first-level administrative unit - used for the purposes of the Integrated Context Analysis (ICA) run in Burkina Faso in 2018. The analysis was a joint effort between the Regional Bureau in Dakar (RBD) and HQ GIS Unit and Programme division. Data source: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2013-2017 The main indicator used for the analysis was the prevalence of Global Acute Malnutrition (GAM) and chronic Global Acute Malnutrition, with thresholds set according to the guidelines suggested by the World Health Organization (WHO). Cette couche contient informations regard les niveaux de malnutrition – par unité administrative de première niveau – observés pendant l’Analyse Integrée du Contexte (AIC) executée en Burkina Faso en 2018. L’analyse a été executée grâce à la collaboration entre le Bureau Régional de Dakar (RBD), l’unité GIS et la division de Programme au quartier générale du PAM. Source des données: Standardized Monitoring and Assessment of Relief and Transitions (SMART), 2013-2017 Les indicateurs principaux utilisés pour l’analyse étaient la prévalence de Malnutrition Aigüe Globale (MAG) et de Malnutrition Aigüe Globale chronique, avec des seuils fixés selon les normes et la gamme de valeurs classés de l’OMS. Original dataset title: ICA Burkina Faso, 2018 - Prevalence of Global Acute Malnutrition, 2016
  • Updated 27 January 2020 | Dataset date: January 01, 2014-December 31, 2014
    This dataset updates: As needed
    This layer contains information about the nutrition levels estimated during the Integrated Context Analysis (ICA) run in Armenia in 2016. The results are still valid for the purposes of the ICA update performed in 2017. Data source: Integrated Living Condition Surveys (ILCS) 2014. The key indicators used for the analysis were the prevalence of stunting and overweight in children below 5 years of age, considering respectively a 20% and a 15% percent threshold. Original dataset title: ICA Armenia, 2016 & 2017 - Malnutrition, 2014
  • Updated 27 January 2020 | Dataset date: January 01, 2013-December 31, 2013
    This dataset updates: As needed
    This layer contains information about the malnutrition level estimated during the Integrated Context Analysis (ICA) run in Afghanistan in 2016. Data source: National Nutrition Survey (NNS), 2013. The key indicator used for the analysis was the prevalence of stunting, collected during the assessment by provincial (first-level administrative unit) level. Original dataset title: ICA Afghanistan, 2016 - Prevalence of Stunting, 2013
  • 20+ Downloads
    Updated 27 January 2020 | Dataset date: January 01, 2018-December 31, 2018
    This dataset updates: As needed
    This layer contains information about the malnutrition levels observed during the Integrated Context Analysis (ICA) run in Afghanistan in 2019. Data source: Afghanistan Health Survey (AHS), 2018. The key indicator used for the purposes of the analysis was the prevalence of Global Acute Malnutrition (GAM) in children below 5 years of age. Original dataset title: ICA Afghanistan, 2019 - Prevalence of Global Acute Malnutrition (GAM), 2018
  • 400+ Downloads
    Updated 22 January 2020 | Dataset date: November 06, 2015-November 06, 2015
    This dataset updates: As needed
    This dataset is a summary of the latest prevalences of the Global Acute Malnutrition of Sahel by Admin1.
  • 60+ Downloads
    Updated 10 November 2019 | Dataset date: July 31, 2018-July 31, 2018
    This dataset updates: As needed
    The zipped CSV files details Global Acute Malnutrition (GAM) prevalence data resulting from Round V of the Nutrition and Food Security SMART survey conducted at the Local Government (LGA) Level in all three crisis-affected states of north east Nigeria, July 2018. Also featured is data on Moderate Acute Malnutrition (MAM), Severe Acute Malnutrition (SAM), and MAM prevalence among beneficiaries 15-49 years, including the respective severity ranking.
  • 70+ Downloads
    Updated 21 July 2018 | Dataset date: July 21, 2018-July 21, 2018
    This dataset updates: Every month
    This dataset contains a zipped shapefile and eight (8) individual CSV files each detailing progress monitoring on key Nutrition Sector indicators, focusing on the three north eastern Nigeria states of Borno, Yobe and Adamawa affected by the crisis, as of July 2018. The data is presented at Local Government Area (LGA) level or Admin 2. The resources include the following: Combined data on all of the Nutrition Indicators; Blanket Supplementary Feeding Programme for Children under 5 years; Blanket Supplementary Feeding Programme (BSFP) for Pregnant and Lactating Women (PLW); Infant and Young Child Feeding (IYCF); Micro-nutrient Powders (MNP); Outpatient Therapeutic Programme (OTP) Admissions; North East Nigeria Nutrition Partner Operational Presence as of July 2018; Stablization Center (SC) Admissions as of July 2018.
  • 100+ Downloads
    Updated 23 May 2018 | Dataset date: May 23, 2018-May 23, 2018
    This dataset updates: Every year
    Mide el estado nutricional de los niños de primer grado, se basa en los resultado del VIII censo de Talla en Escolares de Primer Grado en el cual se recopilaron los resultado de las comparación de talla/edad con tablas de referencia internacional, todos los niños y niñas debajo del valor de referencia se consideran desnutridos.
  • 300+ Downloads
    Updated 18 December 2017 | Dataset date: September 14, 2015-September 14, 2015
    This dataset updates: Every year
    The dataset represents the prevalence of global chronique acute malnutrition in Mauritania in 2015. Nutrition Survey (SMART Method), Preliminary results 2015.