Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors-Reference-Cited by-同舟云学术

Nutrition modeling tools: a qualitative study of influence on policy decision making and determining factors

Published:2022-04-20 Issue:1 Volume:1513 Page:170-191
ISSN:0077-8923
Container-title:Annals of the New York Academy of Sciences
language:en
Short-container-title:Annals NY Academy of Science

Author:

Knight Frances¹²,Bourassa Megan W.³^ORCID,Ferguson Elaine¹^ORCID,Walls Helen¹,de Pee Saskia²⁴⁵,Vosti Stephen⁶,Martinez Homero⁷^ORCID,Levin Carol⁸,Woldt Monica⁹¹⁰¹¹,Sethurman Kavita¹¹,Bergeron Gilles³¹²

Affiliation:

1. Department of Population Health London School of Hygiene and Tropical Medicine London United Kingdom

2. Nutrition Division United Nations World Food Programme Rome Italy

3. New York Academy of Sciences New York New York

4. Friedman School of Nutrition Science and Policy Tufts University Boston Massachusetts

5. Human Nutrition Wageningen University Wageningen the Netherlands

6. Department of Agricultural and Resource Economics University of California, Davis Davis California

7. Nutrition International Ottawa Ontario Canada

8. Department of Global Health University of Washington Seattle Washington

9. Helen Keller International Washington District of Columbia

10. USAID Advancing Nutrition Arlington Virginia

11. Formerly with Food and Nutrition Technical Assistance Project (FANTA) Washington District of Columbia

12. Poverty, Health, and Nutrition Division International Food Policy Research Institute Washington District of Columbia

Funder

Bill and Melinda Gates Foundation

Publisher

Wiley

Subject

History and Philosophy of Science,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nyas.14778

Reference81 articles.

1. Development Initiatives.2018. The fight against malnutrition‐commitments and financing (Chapter 5). In2018 Global Nutrition Report: shining a light to spur action on nutrition.Bristol.

2. The Nutrition Modeling Consortium: improving data use for nutrition policy;Bergeron G.;Sight Life,2018

3. The food environment, its effects on dietary consumption, and potential for measurement within agriculture-nutrition interventions

4. A conceptual framework for understanding the impacts of agriculture and food system policies on nutrition and health

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