COVID‐19 modeling in Sub‐Saharan Africa

After an initial delay, Sub‐Saharan Africa (SSA) is being hit by the pandemic. Demand for exports is falling and caseloads are rising. Governments have approached this crisis with a range of policy options. Optimal policy balances reduced infection rates with lost economic output. This paper discuss...

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Detalles Bibliográficos
Autores principales: Mueller, Valerie, Sheriff, Glenn, Keeler, Corinna, Jehn, Megan
Formato: Journal Article
Lenguaje:Inglés
Publicado: Agricultural and Applied Economics Association 2021
Materias:
Acceso en línea:https://hdl.handle.net/10568/142348
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author Mueller, Valerie
Sheriff, Glenn
Keeler, Corinna
Jehn, Megan
author_browse Jehn, Megan
Keeler, Corinna
Mueller, Valerie
Sheriff, Glenn
author_facet Mueller, Valerie
Sheriff, Glenn
Keeler, Corinna
Jehn, Megan
author_sort Mueller, Valerie
collection Repository of Agricultural Research Outputs (CGSpace)
description After an initial delay, Sub‐Saharan Africa (SSA) is being hit by the pandemic. Demand for exports is falling and caseloads are rising. Governments have approached this crisis with a range of policy options. Optimal policy balances reduced infection rates with lost economic output. This paper discusses how an economic‐epidemiological model used to analyze policy in high‐income countries could be adapted to a context where poverty considerations are paramount. Differences in country characteristics across the continent affect benefits and costs of alternative policy designs. We conclude by highlighting data needs and model calibration challenges for COVID‐19 policy research in SSA.
format Journal Article
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publishDate 2021
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spelling CGSpace1423482025-02-24T06:47:24Z COVID‐19 modeling in Sub‐Saharan Africa Mueller, Valerie Sheriff, Glenn Keeler, Corinna Jehn, Megan policies covid-19 health health policies modelling epidemiology governance After an initial delay, Sub‐Saharan Africa (SSA) is being hit by the pandemic. Demand for exports is falling and caseloads are rising. Governments have approached this crisis with a range of policy options. Optimal policy balances reduced infection rates with lost economic output. This paper discusses how an economic‐epidemiological model used to analyze policy in high‐income countries could be adapted to a context where poverty considerations are paramount. Differences in country characteristics across the continent affect benefits and costs of alternative policy designs. We conclude by highlighting data needs and model calibration challenges for COVID‐19 policy research in SSA. 2021-03-01 2024-05-22T12:10:21Z 2024-05-22T12:10:21Z Journal Article https://hdl.handle.net/10568/142348 en https://doi.org/10.1002/aepp.13200 Limited Access Agricultural and Applied Economics Association Mueller, Valerie; Sheriff, Glenn; Keeler, Corinna; and Jehn, Megan. 2021. COVID‐19 modeling in Sub‐Saharan Africa. Applied Economic Perspectives and 43(1): 24-38. https://doi.org/10.1002/aepp.13078
spellingShingle policies
covid-19
health
health policies
modelling
epidemiology
governance
Mueller, Valerie
Sheriff, Glenn
Keeler, Corinna
Jehn, Megan
COVID‐19 modeling in Sub‐Saharan Africa
title COVID‐19 modeling in Sub‐Saharan Africa
title_full COVID‐19 modeling in Sub‐Saharan Africa
title_fullStr COVID‐19 modeling in Sub‐Saharan Africa
title_full_unstemmed COVID‐19 modeling in Sub‐Saharan Africa
title_short COVID‐19 modeling in Sub‐Saharan Africa
title_sort covid 19 modeling in sub saharan africa
topic policies
covid-19
health
health policies
modelling
epidemiology
governance
url https://hdl.handle.net/10568/142348
work_keys_str_mv AT muellervalerie covid19modelinginsubsaharanafrica
AT sheriffglenn covid19modelinginsubsaharanafrica
AT keelercorinna covid19modelinginsubsaharanafrica
AT jehnmegan covid19modelinginsubsaharanafrica