Sorrel Namaste
Sorrel provides technical assistance for the implementation of household surveys. She has experience in international survey data collection and applied research, with specific expertise in nutritional assessment. Sorrel focuses on collecting and using data to strengthen the feedback loop between the scientific, policy, and implementation communities.
Previously, Sorrel served as the Anemia Team Lead for the United States Agency for International Development-funded Strengthening Partnerships, Results, and Innovations in Nutrition Globally project. In this capacity, she provided governments with technical assistance to develop national strategies and conducted implementation nutrition research. She also worked for the National Institutes of Health (NIH), where she was responsible for supporting large-scale global nutrition research projects. Sorrel also served as the NIH co-principal investigator on the Biomarkers Reflecting Inflammation and Nutrition Determinants of Anemia Project, supported the establishment of the Biomarkers of Nutrition for Development Program, and was the program manager for the Iron and Malaria Safety Project.
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Dr.P.H., George Washington University
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M.H.S., Johns Hopkins Bloomberg School of Public Health
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Methodologic approach for the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project, American journal of Clinical Nutrition, 2017
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Understanding the process of strengthening multi-sectoral efforts for anemia reduction: Qualitative findings from Sierra Leone and Uganda, The International Journal of Health Planning and Management, 2018
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Measurement and interpretation of hemoglobin concentration in clinical and field settings: a narrative review, Annals of the New York Academy of Sciences, 2019
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Intraindividual double burden of overweight or obesity and micronutrient deficiencies or anemia among women of reproductive age in 17 population-based surveys, American journal of Clinical Nutrition, 2019
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Comparing hemoglobin distributions between population-based surveys matched by country and time, BMC Public Health, 2020
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Anthropometric data quality assessment in multisurvey studies of child growth, American journal of Clinical Nutrition, 2020