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Predicted COVID-19 Fatality Rates Based on Age, Sex, Comorbidities, and Health System Capacity

Author

Listed:
  • Selene Ghisolfi

    (Institute for International Economic Studies, Stockholm University
    LEAP, Bocconi University)

  • Ingvild AlmÃ¥s

    (Institute for International Economic Studies, Stockholm University)

  • Justin Sandefur

    (Center for Global Development)

  • Tillmann von Carnap

    (Institute for International Economic Studies, Stockholm University)

  • Jesse Heitner

    (Aceso Global)

  • Tessa Bold

    (Institute for International Economic Studies, Stockholm University)

Abstract

Early reports suggest the fatality rate from COVID-19 varies greatly across countries, but non-random testing and incomplete vital registration systems render it impossible to directly estimate the infection fatality rate (IFR) in many low- and middle-income countries. To fill this gap, we estimate the adjustments required to extrapolate estimates of the IFR from high- to lower-income regions. Accounting for differences in the distribution of age, sex, and relevant comorbidities yields substantial differences in the predicted IFR across 21 world regions, ranging from 0.11% in Western Sub-Saharan Africa to 1.07% for High Income Asia Pacific. However, these predictions must be treated as lower bounds, as they are grounded in fatality rates from countries with advanced health systems. In order to adjust for health system capacity, we incorporate regional differences in the relative odds of infection fatality from childhood influenza. This adjustment greatly diminishes, but does not entirely erase, the demography-based advantage predicted in the lowest income settings, with regional estimates of the predicted COVID-19 IFR ranging from 0.43% in Western Sub-Saharan Africa to 1.83% for Eastern Europe.

Suggested Citation

  • Selene Ghisolfi & Ingvild AlmÃ¥s & Justin Sandefur & Tillmann von Carnap & Jesse Heitner & Tessa Bold, 2020. "Predicted COVID-19 Fatality Rates Based on Age, Sex, Comorbidities, and Health System Capacity," Working Papers 535, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:535
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    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Covid-19 > Health > Measurement

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    Cited by:

    1. Almås, Ingvild & Bold, Tessa & von Carnap, Tillmann & Ghisolfi, Selene & Sandefur, Justin, 2023. "The macroeconomics of pandemics around the world: Lives versus livelihoods revisited," Journal of Development Economics, Elsevier, vol. 163(C).
    2. Lin Ma & Gil Shapira & Damien de Walque & Quy‐Toan Do & Jed Friedman & Andrei A. Levchenko, 2022. "The Intergenerational Mortality Trade‐Off Of Covid‐19 Lockdown Policies," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(3), pages 1427-1468, August.
    3. Demombynes,Gabriel & De Walque,Damien B. C. M. & Gubbins,Paul Michael & Urdinola,Beatriz Piedad & Veillard,Jeremy Henri Maurice, 2021. "COVID-19 Age-Mortality Curves for 2020 Are Flatter in Developing Countries Using Both Official DeathCounts and Excess Deaths," Policy Research Working Paper Series 9807, The World Bank.
    4. Qianqian Sun & Weiyi Zhou & Aliakbar Kabiri & Aref Darzi & Songhua Hu & Hannah Younes & Lei Zhang, 2023. "COVID‐19 and income profile: How communities in the United States responded to mobility restrictions in the pandemic's early stages," Regional Science Policy & Practice, Wiley Blackwell, vol. 15(3), pages 541-558, April.
    5. V. Seror & G. Maradan & E.-H. Ba & S. Cortaredona & C. Berenger & Olivier L’haridon & C. Sokhna & Jocelyn Raude, 2021. "COVID-19-related attitudes, risk perceptions, preventive behaviours and economic impact in sub-Saharan African countries: Implementing a longitudinal phone-based survey protocol in rural Senegalese ho," Post-Print hal-03335734, HAL.
    6. Naudé, Wim & Cameron, Martin, 2020. "Failing to Pull Together: South Africa's Troubled Response to COVID-19," IZA Discussion Papers 13649, Institute of Labor Economics (IZA).
    7. Miguel Poblete-Cazenave, 2021. "Simulating the Long-Term Impacts of the COVID-19 Pandemic on the Sustainability of the Population-Economy-Environment Nexus," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 415-430, October.
    8. Demombynes,Gabriel, 2020. "COVID-19 Age-Mortality Curves Are Flatter in Developing Countries," Policy Research Working Paper Series 9313, The World Bank.

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    Keywords

    COVID-19;

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