Millions of children worldwide are malnourished. The United Nations Sustainable Development Goals call for an end of all forms of malnutrition by 2030. Tracking progress toward global nutrition goals, characterizing nutritional status and overall well-being within and between countries, and measuring responses to public health interventions are all based on country-level estimates—this makes the collection and use of high-quality anthropometry data of vital importance.
Actions can be taken to promote the collection of accurate and precise anthropometric data in surveys and enhance the ability to interpret these results. This is especially important in low- and middle-income countries where survey conditions include insecure environments, hard-to-reach populations, and more recently, challenges introduced by the COVID-19 pandemic.
Join this webinar to learn more about collecting and reporting anthropometric data in population-based household surveys, the collection of anthropometric data in the context of the COVID-19 pandemic, and measures used to assess data quality. Speakers from multilaterals, government agencies, and academia will come together to share their experiences with developing guidelines and supporting anthropometric data collection.
Monica Woldt, Senior Technical Advisor, USAID Advancing Nutrition
Peter Aka, Epidemiologist and Research Scientist, ICF Division of International Health Research and Evaluation
Julia Krasevec, Statistics and Monitoring Specialist, Nutrition, UNICEF Division of Data, Analytics, Planning and Monitoring
Eva Leidman, Humanitarian Response Epidemiologist, Centers for Disease Control and Prevention COVID-19 Response – International Task Force, Emergency Response and Recovery Branch, Division of Global Health Protection
Nandita Perumal, Postdoctoral Research Fellow, Harvard T.H. Chan School of Public Health, Department of Global Health and Population