Assessing the risk of COVID-19 in Feed the Future countries
In anticipation of the development of a safe and effective COVID-19 vaccine—the distribution of which will be a complex and sensitive issue—governments will need to assess the number and location of the most vulnerable people within their populations. Problematically, however, tracking data for most...
| Autores principales: | , , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
International Food Policy Research Institute
2021
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| Acceso en línea: | https://hdl.handle.net/10568/143317 |
| _version_ | 1855538423507451904 |
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| author | Koo, Jawoo Azzarri, Carlo Ghosh, Aniruddha Quabili, Wahid |
| author_browse | Azzarri, Carlo Ghosh, Aniruddha Koo, Jawoo Quabili, Wahid |
| author_facet | Koo, Jawoo Azzarri, Carlo Ghosh, Aniruddha Quabili, Wahid |
| author_sort | Koo, Jawoo |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | In anticipation of the development of a safe and effective COVID-19 vaccine—the distribution of which will be a complex and sensitive issue—governments will need to assess the number and location of the most vulnerable people within their populations. Problematically, however, tracking data for most low- and middle-income countries are only available at the national level. The most widely used dataset by the Johns Hopkins University Center for Systems Science and Engineering (Dong, Du, and Gardner 2020), for example, does not include subnational data for Feed the Future’s 12 target countries in Africa south of the Sahara (SSA) and South Asia: Bangladesh, Ethiopia, Ghana, Guatemala, Honduras, Kenya, Nepal, Niger, Nigeria, Mali, Senegal, and Uganda. For this reason, the Gender, Climate Change, and Nutrition Integration Initiative (GCAN) was commissioned to correlate Demographic and Health Survey data from the United States Agency for International Development (USAID) with geospatial data in order to develop a subnational dataset of key COVID-19 risk indicators based on which potential risk hotspots were identified. This summarizes the study’s analysis in the 12 Feed the Future countries and across subnational administrative units within each country. |
| format | Brief |
| id | CGSpace143317 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1433172025-11-06T04:43:47Z Assessing the risk of COVID-19 in Feed the Future countries Koo, Jawoo Azzarri, Carlo Ghosh, Aniruddha Quabili, Wahid covid-19 vulnerability urban areas risk rural areas In anticipation of the development of a safe and effective COVID-19 vaccine—the distribution of which will be a complex and sensitive issue—governments will need to assess the number and location of the most vulnerable people within their populations. Problematically, however, tracking data for most low- and middle-income countries are only available at the national level. The most widely used dataset by the Johns Hopkins University Center for Systems Science and Engineering (Dong, Du, and Gardner 2020), for example, does not include subnational data for Feed the Future’s 12 target countries in Africa south of the Sahara (SSA) and South Asia: Bangladesh, Ethiopia, Ghana, Guatemala, Honduras, Kenya, Nepal, Niger, Nigeria, Mali, Senegal, and Uganda. For this reason, the Gender, Climate Change, and Nutrition Integration Initiative (GCAN) was commissioned to correlate Demographic and Health Survey data from the United States Agency for International Development (USAID) with geospatial data in order to develop a subnational dataset of key COVID-19 risk indicators based on which potential risk hotspots were identified. This summarizes the study’s analysis in the 12 Feed the Future countries and across subnational administrative units within each country. 2021-02-01 2024-05-22T12:13:04Z 2024-05-22T12:13:04Z Brief https://hdl.handle.net/10568/143317 en Open Access application/pdf International Food Policy Research Institute Koo, Jawoo; Azzarri, Carlo; Ghosh, Aniruddha; and Quabili, Wahid. 2021. Assessing the risk of COVID-19 in Feed the Future countries. GCAN Policy Note 13. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.134271. |
| spellingShingle | covid-19 vulnerability urban areas risk rural areas Koo, Jawoo Azzarri, Carlo Ghosh, Aniruddha Quabili, Wahid Assessing the risk of COVID-19 in Feed the Future countries |
| title | Assessing the risk of COVID-19 in Feed the Future countries |
| title_full | Assessing the risk of COVID-19 in Feed the Future countries |
| title_fullStr | Assessing the risk of COVID-19 in Feed the Future countries |
| title_full_unstemmed | Assessing the risk of COVID-19 in Feed the Future countries |
| title_short | Assessing the risk of COVID-19 in Feed the Future countries |
| title_sort | assessing the risk of covid 19 in feed the future countries |
| topic | covid-19 vulnerability urban areas risk rural areas |
| url | https://hdl.handle.net/10568/143317 |
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