SDG Metadata/2-2-1 — French @ Hosted Weblate: URL: data.unicef.org/nutrition/malnutrition.html; https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition; References: de Onis M, Blössner M, …

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URL:
data.unicef.org/nutrition/malnutrition.html; http://www.who.int/nutgrowthdb/estimates2014/en/; http://datatopics.worldbank.org/child-malnutrition;
References:
United Nations Children’s Fund, World Health Organization, The World Bank (2012). UNICEFWHO-World Bank Joint Child Malnutrition Estimates. (UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC; 2012). 
de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70.
Yang H and de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a> BMC Pediatrics 2008, 8:19 (05 May 2008) (http://www.biomedcentral.com/1471-2431/8/19).
World Health Organization (2008). Training Course on Child Growth Assessment. Geneva, WHO, 2008.
International Journal of Epidemiology 2004;33:1260-70
International Journal of Epidemiology 2003;32:518-26
http://www.biomedcentral.com/1471-2431/8/19
https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;
References:
de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>>
de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>>
McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>>
United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.
UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>>
WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>>
World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: 
World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>>
WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. 
Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.

Key OTHER_DOC

English

URL:
data.unicef.org/nutrition/malnutrition.html;
https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;
References:
de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>>
de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>>
McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>>
United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.
UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>>
WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>>
World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: 
World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>>
WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. 
Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.

French

(Toutes les références sont en anglais)
URL : 
data.unicef.org/nutrition/malnutrition.html;
http://www.who.int/nutgrowthdb/estimates2014/en/;
http://datatopics.worldbank.org/child-malnutrition;
Références :
Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). 
de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. 
Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a> BMC Pediatrics 2008, 8:19 (05 mai 2008) (http://www.biomedcentral.com/1471-2431/8/19). 
Organisation mondiale de la Santé (2008). « Training Course on Child Growth Assessment ». Genève, OMS, 2008.
International Journal of Epidemiology 2003;32:518-26

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Key	English	French
QUALITY_MGMNT	<p>The JME working group, which was formed in 2011 with representatives from UNICEF, WHO and the World Bank, is responsible for management of the processes used to develop regular updates of the JME estimates. This includes the regular update of the country database of surveys used to generate the JME modelled estimates. Regular communication with regional and country teams allows the JME working group to secure microdata for re-analysis according to the standard method and discuss potential data quality issues. The JME working group also continuously review methods and considers and tests different methodologies to improve the estimates as necessary. Additionally, a Technical Expert Advisory Group on Nutrition Monitoring (TEAM), jointly established by UNICEF and WHO, provides advice on nutrition monitoring methods and processes, including on the JME.</p>	<p>Description des systèmes et des cadres en place dans une organisation pour gérer la qualité des produits et des processus statistiques.</p>
QUALITY_ASSURE	<p>The quality criteria established in the 2019 UNICEF/WHO guidance (<a href="https://data.unicef.org/resources/data-collection-analysis-reporting-on-anthropometric-indicators-in-children-under-5/">WHO/UNICEF, 2019</a>)ewere used to update the JME primary data source review form. The JME review form is used to abstract key information including methodological details (e.g., sampling procedures, description of anthropometrical equipment), data quality outputs (e.g., response rates, weight and height distributions, percentage of cases that were flagged as having implausible anthropometry outcomes according to the WHO Child Growth Standards) and the malnutrition prevalence estimates from each primary data source (e.g., household survey) under review. One JME working group member fills in the review form for each data source and when information is missing or further details are required, the country teams are contacted. Once all information is available and the JME primary data source review form is completed, each data source is reviewed by the three agencies (UNICEF, WHO, WB) which form the JME working group. This allows for a thorough and efficient standard joint review of each data source by the three agencies prior to inclusion in the JME country database of primary sources (e.g., household surveys) that are used to generate the JME country modelled estimates. </p>	<p>Description des pratiques et des lignes directrices axées sur la qualité en général et traitant de la qualité des programmes statistiques de votre organisme, y compris les mesures visant à assurer l'utilisation efficace des ressources.</p>
QUALITY_ASSMNT	<p>Data consistency and quality checks described above are conducted for each potential primary data source (e.g., household survey) before inclusion in the JME country database of primary sources that are used to generate the JME modelled estimates. Cross-validation exercises are performed for the modelled estimates to ensure the method generates estimates that are aligned to national data points. Country consultations with SDG 2.2 focal points held every other year also provide an opportunity to ensure the estimates include all recent and relevant country data. </p>	<p>Description de l'évaluation globale du respect des exigences de qualité, sur la base de critères de qualité standard.</p>
COVERAGE	<p><strong>Data availability:</strong></p> <p>The JME modelled country estimates from 2000 to 2020 for stunting were released for 159 countries that had at least one primary data source (e.g., from household survey) included in the 2023 JME country database. </p> <p><strong>Time series:</strong></p> <p>At country level, JME modelled estimates from 2000 to the year before the JME release are presented for countries with at least one data point (e.g., from survey/surveillance) are included in the joint database of primary data sources. Survey years range from 1983 to the year before the JME release. Worldwide and regional levels, annual estimates are available from 2000 to the year before the JME release. </p> <p><strong>Disaggregation:</strong></p> <p>Country, regional and worldwide JME modelled estimates refer to the age group of children under 5 years, sexes combined. Disaggregations are currently not available for the JME modelled estimates. However, a disaggregated dataset of national primary sources with sub national and stratified estimates (e.g., sex, age groups, wealth, mothers' education, residence) is available.</p>	<p><strong>Disponibilité des données :</strong></p> <p>Plus de 150 pays. </p> <p><strong>Séries chronologiques :</strong></p> <p>Au niveau national, des données sont fournies pour les années où les enquêtes sont incluses dans l’ensemble de données conjoint. Les années d’enquête vont de 1983 à 2016. Pour les niveaux mondial et régional, les estimations de 1990 à la dernière année disponible lors de la diffusion chaque année (c’est-à-dire que dans l’édition de septembre 2016 des estimations conjointes de la malnutrition (JME), la dernière estimation disponible était pour 2015). </p> <p><strong>Désagrégation :</strong></p> <p>Les estimations mondiales et régionales se réfèrent au groupe d’âge des enfants de moins de 5 ans, tous sexes confondus. Des données ventilées par pays sont disponibles dans la majorité des enquêtes auprès des ménages et le groupe UNICEF - OMS - Banque mondiale élargit l’ensemble de données conjoint pour inclure des estimations infranationales et stratifiées (p. ex., sexe, groupes d’âge, richesse, éducation des mères, résidence) en 2017.</p>
COMPARABILITY	<p><strong>Sources of discrepancies:</strong></p> <p>For the survey estimates included in the JME joint database of primary sources, re-analysis based on standardized methodology using the WHO Child Growth Standards as described in <em>Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old</em> (<a href="https://data.unicef.org/resources/data-collection-analysis-reporting-on-anthropometric-indicators-in-children-under-5/">WHO/UNICEF 2019</a>) and WHO Anthro Survey Analyser (<a href="https://www.who.int/tools/child-growth-standards/software">WHO, 2019</a>) is applied whenever microdata are available to enhance comparability across the time series. Country teams are encouraged to use the WHO Anthro Survey Analyser (<a href="https://www.who.int/tools/child-growth-standards/software">WHO, 2019</a>) to undertake survey analysis and harmonize with the global standard analysis methods. </p> <p>For the inclusion of survey estimates into the JME database, the inter-agency group applies a set of survey quality assessment criteria. When there is insufficient documentation, the survey is not included until information becomes available. Discrepancies between results from standardised methodology and those reported may occur for various reasons, for example, the use of different standards for z-score calculations, imputation of the day of birth when missing, the use of rounded age in months, the use of different flagging systems for data exclusion. For surveys based on the previous NCHS/WHO references, and for which raw data are not available, a method for converting the z-scores to be based on the WHO Child Growth Standards is applied (<a href="http://www.biomedcentral.com/1471-2431/8/19">Yang and de Onis, 2008</a>). In addition, when surveys do not cover the age interval 0-59 month, or are only representative of the rural areas, an adjustment based on other surveys for the same country, is performed. Any adjustment or conversion is transparently stated in the annotated joint data set.</p> <p>The JME country modelled estimates, which are based on smoothing techniques and covariates, as described elsewhere (<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">McLain et al. 2018</a>), vary from estimates from primary data sources such as household surveys, but in most cases the 95 per cent confidence bounds of the modelled estimates for a given country in a given year fall within the 95 per cent confidence bounds of the estimate from the primary source for the corresponding country and year(s).</p>	<p><strong>Sources des divergences :</strong></p> <p>L'approche d'analyse standard pour construire l'ensemble de données communes vise à une comparabilité maximale des estimations des pays. Pour l'inclusion des estimations de l'enquête dans l'ensemble de données des estimations conjointes de la malnutrition (JME), le groupe inter agences applique des critères d'évaluation de la qualité de l'enquête. Lorsque la documentation est insuffisante, l'enquête n'est pas incluse tant que les informations ne sont pas disponibles. Lorsque des données brutes sont disponibles et qu'une question se pose sur l'approche d'analyse, une nouvelle analyse des données est effectuée selon la méthodologie standard. Des divergences entre les résultats de l'approche standardisée et ceux qui sont déclarés peuvent se produire pour diverses raisons (par exemple, utilisation de normes différentes pour le calcul du score z, imputation du jour de naissance lorsque celui-ci est manquant, utilisation de l'âge arrondi en mois, utilisation de systèmes de marquage différents pour l'exclusion des données). Pour les enquêtes basées sur les précédentes références du « National Center for Health Statistics (NCHS) » et de l'OMS, et pour lesquelles les données brutes ne sont pas disponibles, une méthode de conversion des scores z basée sur les normes de croissance des enfants de l'OMS est appliquée (Yang et de Onis, 2008). En outre, lorsque les enquêtes ne couvrent pas l'intervalle d'âge 0-5 ans, ou sont uniquement représentatives des zones rurales, un ajustement basé sur d'autres enquêtes pour le même pays est effectué. Tout ajustement ou conversion est indiqué de manière transparente dans l'ensemble de données commun annoté.</p>
OTHER_DOC	<p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p>	<p>(Toutes les références sont en anglais)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8:19 (05 mai 2008)<br> (http://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la Santé (2008). « Training Course on Child Growth Assessment ». Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p>

Key	English	French
DOC_METHOD	<p>Methods and guidance: </p> <p><a href="https://data.unicef.org/resources/data-collection-analysis-reporting-on-anthropometric-indicators-in-children-under-5/">Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years of age (WHO/UNICEF, 2019)</a> </p> <p>Analysis tool: <a href="https://worldhealthorg.shinyapps.io/anthro/">WHO Anthro Survey Analyser (shinyapps.io)</a></p> <p><a href="https://data.unicef.org/resources/jme-2021-country-consultations/">UNICEF-WHO-World Bank 2020. Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight</a> . </p>	<p>Description de la méthodologie utilisée par les pays pour la compilation des données au niveau national et les recommandations et directives internationales pertinentes à la disposition des pays. Des descriptions et des liens vers tous les documents de référence pertinents doivent être fournis. </p>
FREQ_COLL	<p>Data collection is carried out by the three-agency group throughout the year.</p>	<p>Les sources de données sont actuellement mises à jour afin d'alimenter la production d'estimations mondiales et régionales pour 2017 et l'ensemble de données nationales mises à jour qui seront publiées en mai 2017. </p>
IMPUTATION	<ul> <li><strong>At country level</strong></li> </ul> <p>Missing values were derived as part of the methods used to generate the JME country modelled estimates, by closely fitting the estimates from country primary data sources, with due attention to unwarranted variability. Please refer to <a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">McLain et al. 2018</a> for technical details of the methods applied. Based on these methods, the JME country modelled estimates are produced from 2000 until the year before the year of publication (e.g., until 2022 for the JME 2023 edition) and used to generate regional and worldwide aggregates. For countries without any primary input data meeting inclusion criteria, the JME country modelled estimates were produced solely for generation of regional and worldwide aggregates, and were not released to the public</p> <ul> <li><strong>At regional and worldwide levels</strong></li> </ul> <p>There are no missing data for the generation of worldwide and regional estimates as modelled estimates are produced for all countries, those with and those without primary data in the JME country database, even though the country estimates are not released to the public for those countries without primary data. </p>	<ul> <li><strong>Au niveau national :</strong></li> </ul> <p>Aucune méthode d'imputation n'est appliquée pour obtenir des estimations pour les pays ou les années où aucune donnée n'est disponible.</p> <ul> <li><strong>Aux niveaux régional et mondial :</strong></li> </ul> <p>Les pays et les années sont traités comme manquants de manière aléatoire selon une approche de modélisation à plusieurs niveaux (International Journal of Epidemiology 2004;33:1260-70).</p>
INST_MANDATE	<p>UNICEF is responsible for global monitoring and reporting on the wellbeing of children. UNICEF actively supports countries in data collection and analysis for reporting on child malnutrition indicators primarily through high-quality MICS surveys, as well as providing technical and financial support to other surveys. UNICEF not only supports household surveys but also works with global partners to define technical standards for the collection and analysis of anthropometric data. UNICEF also compiles statistics on child nutrition with the goal of making internationally comparable estimates and databases publicly available. In-depth analyses of the data on child malnutrition, which are included in relevant data-driven publications, including in its flagship publication, <em>The State of the World’s Children,</em> and the <em>Child Nutrition Report</em> are also conducted by UNICEF.</p> <p>WHO has an established role in the monitoring of child growth and malnutrition since the late 1980’s and had the mandate to develop the WHO Child Growth Standards, launched in 2006, and adopted by more than 160 countries. WHO has published several peer-reviewed articles with regional and global estimates until 2012, when they joined forces with UNICEF and the World Bank, with the objective of harmonizing child malnutrition estimates. WHO has the mandate to monitor and report progress on the six global nutrition targets, endorsed in 2012 by the World Health Assembly, amongst them, three on child malnutrition, namely stunting, overweight and wasting (SDG 2.2.1, 2.2.2 (1) and 2.2.2 (2)). </p>	<p>La description de l’ensemble de règles ou d’un autre ensemble formel d'instructions attribuant la responsabilité ainsi que l’autorité à une organisation pour la collecte, le traitement et la diffusion de statistiques pour cet indicateur.</p>
META_LAST_UPDATE	2023-05-15	<p>2016-12-02</p>
OTHER_DOC	<p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p>	<p>(Toutes les références sont en anglais)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8:19 (05 mai 2008)<br> (http://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la Santé (2008). « Training Course on Child Growth Assessment ». Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p>
QUALITY_ASSMNT	<p>Data consistency and quality checks described above are conducted for each potential primary data source (e.g., household survey) before inclusion in the JME country database of primary sources that are used to generate the JME modelled estimates. Cross-validation exercises are performed for the modelled estimates to ensure the method generates estimates that are aligned to national data points. Country consultations with SDG 2.2 focal points held every other year also provide an opportunity to ensure the estimates include all recent and relevant country data. </p>	<p>Description de l'évaluation globale du respect des exigences de qualité, sur la base de critères de qualité standard.</p>
QUALITY_ASSURE	<p>The quality criteria established in the 2019 UNICEF/WHO guidance (<a href="https://data.unicef.org/resources/data-collection-analysis-reporting-on-anthropometric-indicators-in-children-under-5/">WHO/UNICEF, 2019</a>)ewere used to update the JME primary data source review form. The JME review form is used to abstract key information including methodological details (e.g., sampling procedures, description of anthropometrical equipment), data quality outputs (e.g., response rates, weight and height distributions, percentage of cases that were flagged as having implausible anthropometry outcomes according to the WHO Child Growth Standards) and the malnutrition prevalence estimates from each primary data source (e.g., household survey) under review. One JME working group member fills in the review form for each data source and when information is missing or further details are required, the country teams are contacted. Once all information is available and the JME primary data source review form is completed, each data source is reviewed by the three agencies (UNICEF, WHO, WB) which form the JME working group. This allows for a thorough and efficient standard joint review of each data source by the three agencies prior to inclusion in the JME country database of primary sources (e.g., household surveys) that are used to generate the JME country modelled estimates. </p>	<p>Description des pratiques et des lignes directrices axées sur la qualité en général et traitant de la qualité des programmes statistiques de votre organisme, y compris les mesures visant à assurer l'utilisation efficace des ressources.</p>
QUALITY_MGMNT	<p>The JME working group, which was formed in 2011 with representatives from UNICEF, WHO and the World Bank, is responsible for management of the processes used to develop regular updates of the JME estimates. This includes the regular update of the country database of surveys used to generate the JME modelled estimates. Regular communication with regional and country teams allows the JME working group to secure microdata for re-analysis according to the standard method and discuss potential data quality issues. The JME working group also continuously review methods and considers and tests different methodologies to improve the estimates as necessary. Additionally, a Technical Expert Advisory Group on Nutrition Monitoring (TEAM), jointly established by UNICEF and WHO, provides advice on nutrition monitoring methods and processes, including on the JME.</p>	<p>Description des systèmes et des cadres en place dans une organisation pour gérer la qualité des produits et des processus statistiques.</p>
RATIONALE	<p>Child growth is an internationally accepted outcome reflecting child nutritional status. Child stunting refers to a child who is too short for his or her age and is the result of chronic or recurrent malnutrition. Stunting is a contributing risk factor to child mortality and is also a marker of inequalities in human development. Stunted children fail to reach their physical and cognitive potential. Child stunting is one of the World Health Assembly nutrition target indicators.</p>	<p>La croissance de l'enfant est un résultat internationalement accepté qui reflète son état nutritionnel. Le retard de croissance de l'enfant est un phénomène qui se produit lorsque ce dernier est trop petit pour son âge, résultat d'une malnutrition chronique ou récurrente. Le retard de croissance est un facteur de risque contribuant à la mortalité infantile et un marqueur des inégalités dans le développement humain. Les enfants souffrant d'un retard de croissance ne parviennent pas à atteindre leur potentiel physique et cognitif. Le retard de croissance chez les enfants est l'un des indicateurs de l'Assemblée mondiale de la Santé en matière de nutrition.</p>

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None String updated in the repository SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p> French 0 characters edited Current translation Needs editing <p>(Toutes les références sont en anglais)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8:19 (05 mai 2008)<br> (http://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la Santé (2008). « Training Course on Child Growth Assessment ». Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p> 8 months ago
None Source string changed SDG Metadata 2-2-1 French	English 2588 characters edited <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html; http://www.who.int/nutgrowthdb/estimates2014/en/; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>United Nations Children’s Fund, World Health Organization, The World Bank (2012). UNICEFWHO-World Bank Joint Child Malnutrition Estimates. (UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70.</p> <p>Yang H and de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a> <br>BMC Pediatrics 2008, 8:19 (05 May 2008) <br>(http://www.biomedcentral.com/1471-2431/8/19).</p> <p>World Health Organization (2008). Training Course on Child Growth Assessment. Geneva, WHO, 2008.</p> <p>International Journal of Epidemiology 2004;33:1260-70</p> <p>International Journal of Epidemiology 2003;32:518-26</p> <p>http://www.biomedcentral.com/1471-2431/8/19</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p> 8 months ago
deblsyl Translation changed SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html; http://www.who.int/nutgrowthdb/estimates2014/en/; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>United Nations Children’s Fund, World Health Organization, The World Bank (2012). UNICEFWHO-World Bank Joint Child Malnutrition Estimates. (UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70.</p> <p>Yang H and de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a> <br>BMC Pediatrics 2008, 8:19 (05 May 2008) <br>(http://www.biomedcentral.com/1471-2431/8/19).</p> <p>World Health Organization (2008). Training Course on Child Growth Assessment. Geneva, WHO, 2008.</p> <p>International Journal of Epidemiology 2004;33:1260-70</p> <p>International Journal of Epidemiology 2003;32:518-26</p> <p>http://www.biomedcentral.com/1471-2431/8/19</p> French 25 characters edited Current translation Translated <p>(Tou~~s en anglais seulement~~tes les références sont en anglais)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8:19 (05 mai 2008)<br> (http://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la Santé (2008). « Training Course on Child Growth Assessment ». Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p> a year ago
deblsyl Translation changed SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html; http://www.who.int/nutgrowthdb/estimates2014/en/; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>United Nations Children’s Fund, World Health Organization, The World Bank (2012). UNICEFWHO-World Bank Joint Child Malnutrition Estimates. (UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70.</p> <p>Yang H and de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a> <br>BMC Pediatrics 2008, 8:19 (05 May 2008) <br>(http://www.biomedcentral.com/1471-2431/8/19).</p> <p>World Health Organization (2008). Training Course on Child Growth Assessment. Geneva, WHO, 2008.</p> <p>International Journal of Epidemiology 2004;33:1260-70</p> <p>International Journal of Epidemiology 2003;32:518-26</p> <p>http://www.biomedcentral.com/1471-2431/8/19</p> French 5 characters edited Translated <p>(Tous en anglais seulement)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8:19 (05 mai 2008)<br> (http://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la sSanté (2008). « Training Course on Child Growth Assessment ». Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p> 2 years ago
None String updated in the repository SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html; http://www.who.int/nutgrowthdb/estimates2014/en/; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>United Nations Children’s Fund, World Health Organization, The World Bank (2012). UNICEFWHO-World Bank Joint Child Malnutrition Estimates. (UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70.</p> <p>Yang H and de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a> <br>BMC Pediatrics 2008, 8:19 (05 May 2008) <br>(http://www.biomedcentral.com/1471-2431/8/19).</p> <p>World Health Organization (2008). Training Course on Child Growth Assessment. Geneva, WHO, 2008.</p> <p>International Journal of Epidemiology 2004;33:1260-70</p> <p>International Journal of Epidemiology 2003;32:518-26</p> <p>http://www.biomedcentral.com/1471-2431/8/19</p> French 0 characters edited Translated <p>(Tous en anglais seulement)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8:19 (05 mai 2008)<br> (http://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la santé (2008). Training Course on Child Growth Assessment. Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p> 2 years ago
deblsyl Translation changed SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p> French 3 characters edited <p>(Tous en anglais seulement)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>http://www.who.int/nutgrowthdb/estimates2014/en/;</p> <p>http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la Santé, Banque mondiale (2012). UNICEF-OMS-Banque mondiale « Joint Child Malnutrition Estimates ». (UNICEF, New York; OMS, Genève; Banque mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition.nternational Journal of Epidemiology, 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http ://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8 :19 (05 mai 2008)<br> (http ://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la santé (2008). Training Course on Child Growth Assessment. Genève, OMS, 2008.</p> <p>International Journal of Epidemiology 2003;32:518-26</p> 2 years ago
deblsyl Translation changed SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p> French 349 characters edited <p>(Tous en anglais seulement)</p> <p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html ; ;</p> <p>http ://www.who.int/nutgrowthdb/estimates2014/en/ ; ;</p> <p>http ://datatopics.worldbank.org/child-malnutrition~~</a>~~;</p> <p><strong>Références :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la sSanté, Banque mondiale (2012). ~~Estimations conjointes~~ UNICEF-OMS-Banque Mmondiale ~~sur la m~~« Joint Child Malnutrition ~~des enfants~~Estimates ». (UNICEF, New York ; OMS, Genève ; Banque Mmondiale, Washington, DC ; 2012). </p> <p>de Onis M, Bl~~&#xF6 ;~~össner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition. ~~Int J~~nternational Journal of Epidemiology, 33(6) :1260-70. </p> <p>Yang H et de Onis M. <a href="http ://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithmes defor conver~~sion des estimations de la malnutrition infantile basées sur la référence NCHS en~~ting estimates of child malnutrition based on the NCHS reference into estimat~~ion~~es bas~~ées sur les normes de croissance de l'enfant de l'OMS~~ed on the WHO Child Growth Standards </a><br> BMC Pediatrics 2008, 8 :19 (05 mai 2008)<br> (http ://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la santé (2008). ~~Cours de formation sur l'évaluation de la croissance des enfants~~Training Course on Child Growth Assessment. Genève, OMS, 2008.</p> <p>~~Journal i~~International d'épidémiologie 2004 ;33 :1260-70</p> <p>Journal international d'épidéJournal of Epidemiologiey 2003 ;32 :518-26</p> 2 years ago
deblsyl Translation changed SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p> French 18 characters edited <p><strong>URL  : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html ; http ://www.who.int/nutgrowthdb/estimates2014/en/ ; http ://datatopics.worldbank.org/child-malnutrition</a></p> <p><strong>Références  :</strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la santé, Banque mondiale (2012). Estimations conjointes UNICEF-OMS-Banque Mondiale sur la malnutrition des enfants. (UNICEF, New York  ; OMS, Genève  ; Banque Mondiale, Washington, DC  ; 2012). </p> <p>de Onis M, Bl&#xF6 ;ssner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6) :1260-70. </p> <p>Yang H et de Onis M. <a href="http ://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithmes de conversion des estimations de la malnutrition infantile basées sur la référence NCHS en estimations basées sur les normes de croissance de l'enfant de l'OMS </a><br> BMC Pediatrics 2008, 8 :19 (05 mai 2008)<br> (http ://www.biomedcentral.com/1471-2431/8/19). </p> <p>Organisation mondiale de la santé (2008). Cours de formation sur l'évaluation de la croissance des enfants. Genève, OMS, 2008.</p> <p>Journal international d'épidémiologie 2004 ;33 :1260-70</p> <p>Journal international d'épidémiologie 2003 ;32 :518-26</p> 2 years ago
deblsyl Translation changed SDG Metadata 2-2-1 French	English <p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html;</p> <p>https://www.who.int/data/gho/data/themes/topics/joint-child-malnutrition-estimates-unicef-who-wb; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</strong></p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70. <<a href="https://pubmed.ncbi.nlm.nih.gov/15542535/">https://pubmed.ncbi.nlm.nih.gov/15542535/</a>></p> <p>de Onis, M., Onyango, A., Borghi, E., Garza, C., and Yang, H. (2006). Comparison of the World Health Organization (WHO) Child Growth Standards and the National Center for Health Statistics/WHO international growth reference: Implications for child health programmes. Public Health Nutrition, 9(7), 942-947. doi:10.1017/PHN20062005 <<a href="https://www.who.int/childgrowth/publications/Comparison_implications.pdf">https://www.who.int/childgrowth/publications/Comparison_implications.pdf</a>></p> <p>McLain A, Frongillo E, Feng J, Borghi E (2018). Prediction intervals for penalized longitudinal models with multi-source summary measures: an application to childhood malnutrition. Stat Med; 38(6):1002-1012; doi: 10.1002/sim.8024. Epub 2018 Nov 14. <<a href="https://pubmed.ncbi.nlm.nih.gov/30430613/">https://pubmed.ncbi.nlm.nih.gov/30430613/</a>></p> <p>United Nations Children’s Fund (UNICEF), World Health Organization, International Bank for Reconstruction and Development/The World Bank (2019). Meeting report on Technical Consultation on a Country-level model for SDG2.2. December 2019.</p> <p>UNICEF-WHO-World Bank (2020). Technical notes from the country consultation on SDG Indicators 2.2.1 on stunting, 2.2.2a on wasting and 2.2.2b on overweight <<a href="https://data.unicef.org/resources/jme-2021-country-consultations/">https://data.unicef.org/resources/jme-2021-country-consultations/</a>></p> <p>WHO (2006). WHO Multicentre Growth Reference Study (MGRS) <<a href="https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study">https://www.who.int/tools/child-growth-standards/who-multicentre-growth-reference-study</a>></p> <p>World Health Organization and United Nations Children’s Fund (2019). Recommendations for data collection, analysis and reporting on anthropometric indicators in children under 5 years old. Geneva: </p> <p>World Health Organization and the United Nations Children’s Fund (UNICEF), 2019. Licence: CC BY-NC-SA 3.0 IGO. <<a href="https://www.who.int/nutrition/publications/anthropometry-data-quality-report">https://www.who.int/nutrition/publications/anthropometry-data-quality-report</a>></p> <p>WHO. WHO Anthro Survey Analyser (2019). Available at <a href="https://www.who.int/tools/child-growth-standards/software">https://www.who.int/tools/child-growth-standards/software</a>. </p> <p>Yang H and de Onis M (2008). <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a>. BMC Pediatrics 2008, 8:19 (05 May 2008) <<a href="http://www.biomedcentral.com/1471-2431/8/19">http://www.biomedcentral.com/1471-2431/8/19</a>>.</p> French 371 characters edited <h1>Références</h1> <h2>URL : </h2> <p><a href="http://data.unicef.org/nutrition/malnutrition.html">http://p><strong>URL : </strong></p> <p>data.unicef.org/nutrition/malnutrition.html</a></p> <p><a href="; http://www.who.int/nutgrowthdb/estimates2014/en/">http://www.who.int/nutgrowthdb/estimates2014/en/</a></p> <p><a href="http://datatopics.worldbank.org/child-malnutrition">; http://datatopics.worldbank.org/child-malnutrition</a></p> <h2p><strong>Références :</h2strong></p> <p>Fonds des Nations Unies pour l'enfance, Organisation mondiale de la santé, Banque mondiale (2012). Estimations conjointes UNICEF- ~~de l'OMS et de la~~ OMS-Banque Mondiale sur la malnutrition des enfants. (UNICEF, New York ; OMS, Genève ; Banque Mondiale, Washington, DC ; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et autres (2004), Methodology for estimating regional and global trends of childhood malnutrition. ~~<em>~~Int J Epidemiol,~~</em>~~ 33(6):1260-70. </p> <p>Yang H et de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithmes de conversion des estimations de la malnutrition infantile basées sur la référence NCHS en estimations basées sur les normes de croissance de l'enfant de l'OMS </a><br> BMC ~~<em>~~Pediatrics ~~</em>~~ 2008, 8:19 (05 mai 2008) ~~(<a href="http://www.biomedcentral.com/1471-2431/8/19">~~<br> (http://www.biomedcentral.com/1471-2431/8/19~~</a>~~). </p> <p>Organisation mondiale de la santé (2008). ~~<em>~~Cours de formation sur l'évaluation de la croissance des enfants.~~</em>~~ Genève, OMS, 2008.</p> <p>~~<em>~~Journal international d'épidémiologie ~~</em>~~ 2004;33:1260-70 </p> <p>~~<em>~~Journal international d'épidémiologie ~~</em>~~ 2003;32:518-26 </p> 2 years ago
None Source string changed SDG Metadata 2-2-1 French	English 355 characters edited <h1>References</h1> <h2>URL:</h2> <p><a href="http://data.unicef.org/nutrition/malnutrition.html">http://p><strong>URL:</strong></p> <p>data.unicef.org/nutrition/malnutrition.html</a></p> <p><a href="; http://www.who.int/nutgrowthdb/estimates2014/en/">http://www.who.int/nutgrowthdb/estimates2014/en/</a></p> <p><a href="http://datatopics.worldbank.org/child-malnutrition">http://datatopics.worldbank.org/child-malnutrition</a></p> <h2; http://datatopics.worldbank.org/child-malnutrition;</p> <p><strong>References:</h2strong></p> <p>United Nations Children’s Fund, World Health Organization, The World Bank (2012). UNICEFWHO-World Bank Joint Child Malnutrition Estimates. (UNICEF, New York; WHO, Geneva; The World Bank, Washington, DC; 2012). </p> <p>de Onis M, Blössner M, Borghi E, et al. (2004), Methodology for estimating regional and global trends of childhood malnutrition. Int J Epidemiol, 33(6):1260-70.</p> <p>Yang H and de Onis M. <a href="http://www.who.int/entity/nutgrowthdb/publications/algorithms/en/index.html">Algorithms for converting estimates of child malnutrition based on the NCHS reference into estimates based on the WHO Child Growth Standards</a> <br>BMC Pediatrics 2008, 8:19 (05 May 2008) ~~(<a href="http://www.biomedcentral.com/1471-2431/8/19">~~<br>(http://www.biomedcentral.com/1471-2431/8/19~~</a>~~).</p> <p>World Health Organization (2008). Training Course on Child Growth Assessment. Geneva, WHO, 2008.</p> <p>International Journal of Epidemiology 2004;33:1260-70</p> <p>International Journal of Epidemiology 2003;32:518-26</p> <p>http://www.biomedcentral.com/1471-2431/8/19</p> 2 years ago