IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/9807.html
   My bibliography  Save this paper

COVID-19 Age-Mortality Curves for 2020 Are Flatter in Developing Countries Using Both Official DeathCounts and Excess Deaths

Author

Listed:
  • Demombynes,Gabriel
  • De Walque,Damien B. C. M.
  • Gubbins,Paul Michael
  • Urdinola,Beatriz Piedad
  • Veillard,Jeremy Henri Maurice

Abstract

Using official COVID-19 death counts for 64 countries and excess death estimates for 41countries, this paper finds a higher share of pandemic-related deaths in 2020 were at younger ages inmiddle-income countries compared to high-income countries. People under age 65 constituted on average (1) 11 percent ofboth official deaths and excess deaths in high-income countries, (2) 40 percent of official deaths and 37 percentof excess deaths in upper-middle-income countries, and (3) 54 percent of official deaths in lower-middle-incomecountries. These contrasting profiles are due only in part to differences in population age structure. Both COVID-19and excess death age-mortality curves are flatter in countries with lower incomes. This is a result of somecombination of variation in age patterns of infection rates and infection fatality rates. In countries with very lowdeath rates, excess mortality is substantially negative at older ages, suggesting that pandemic-related precautionshave lowered non-COVID-19 deaths. Additionally, the United States has a younger distribution of deaths than countrieswith similar levels of income.

Suggested Citation

  • 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.
  • Handle: RePEc:wbk:wbrwps:9807
    as

    Download full text from publisher

    File URL: http://documents.worldbank.org/curated/en/718461634217653573/pdf/COVID-19-Age-Mortality-Curves-for-2020-Are-Flatter-in-Developing-Countries-Using-Both-Official-Death-Counts-and-Excess-Deaths.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schellekens,Philip & Sourrouille,Diego M., 2020. "COVID-19 Mortality in Rich and Poor Countries : A Tale of Two Pandemics ?," Policy Research Working Paper Series 9260, The World Bank.
    2. Daniel Garrote Sanchez & Nicolas Gomez Parra & Caglar Ozden & Bob Rijkers & Mariana Viollaz & Hernan Winkler, 2021. "Who on Earth Can Work from Home? [Secular Stagnation? The Effect of Aging on Economic Growth in the Age of Automation]," The World Bank Research Observer, World Bank, vol. 36(1), pages 67-100.
    3. Demombynes,Gabriel, 2020. "COVID-19 Age-Mortality Curves Are Flatter in Developing Countries," Policy Research Working Paper Series 9313, The World Bank.
    4. Ahmed Mushfiq Mobarak & Edward Miguel, 2022. "The Economics of the COVID-19 Pandemic in Poor Countries," Annual Review of Economics, Annual Reviews, vol. 14(1), pages 253-285, August.
    5. Chauvin, Juan Pablo & Fowler, Annabelle & Herrera L., Nicolás, 2020. "The Younger Age Profile of COVID-19 Deaths in Developing Countries," IDB Publications (Working Papers) 10863, Inter-American Development Bank.
    6. Joshua R. Goldstein & Ronald D. Lee, 2020. "Demographic perspectives on the mortality of COVID-19 and other epidemics," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(36), pages 22035-22041, September.
    7. Caitlin S. Brown & Martin Ravallion & Dominique van de Walle, 2020. "Can the World’s Poor Protect Themselves from the New Coronavirus?," NBER Working Papers 27200, National Bureau of Economic Research, Inc.
    8. Selene Ghisolfi & Ingvild Almås & 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.
    9. Isaac Sasson, 2021. "Age and COVID-19 mortality: A comparison of Gompertz doubling time across countries and causes of death," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(16), pages 379-396.
    10. João Pedro & Amer Hasan & Diana Goldemberg & Koen Geven & Syedah Aroob Iqbal, 2021. "Simulating the Potential Impacts of COVID-19 School Closures on Schooling and Learning Outcomes: A Set of Global Estimates [Tackling Inequity in Education during and after COVID-19]," The World Bank Research Observer, World Bank, vol. 36(1), pages 1-40.
    11. Marília R. Nepomuceno & Enrique Acosta & Diego Alburez-Gutierrez & José Manuel Aburto & Alain Gagnon & Cássio M. Turra, 2020. "Besides population age structure, health and other demographic factors can contribute to understanding the COVID-19 burden," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(25), pages 13881-13883, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Demombynes,Gabriel, 2020. "COVID-19 Age-Mortality Curves Are Flatter in Developing Countries," Policy Research Working Paper Series 9313, The World Bank.
    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. Isaac Sasson, 2021. "Age and COVID-19 mortality: A comparison of Gompertz doubling time across countries and causes of death," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(16), pages 379-396.
    4. Hausmann, Ricardo & Schetter, Ulrich, 2022. "Horrible trade-offs in a pandemic: Poverty, fiscal space, policy, and welfare," World Development, Elsevier, vol. 153(C).
    5. Yupeng Li & Kul Prasad Kapri, 2021. "Impact of Economic Factors and Policy Interventions on the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    6. Abu S. Shonchoy & Shatakshee Dhongde & Erdal Asker, 2023. "COVID-19 Lockdown and Neonatal Mortality: Evidence from India," Working Papers 2303, Florida International University, Department of Economics.
    7. Lauren Hoehn-Velasco & Adan Silverio-Murillo & Jose Roberto Balmori de la Miyar & Jacob Penglase, 2022. "The impact of the COVID-19 recession on Mexican households: evidence from employment and time use for men, women, and children," Review of Economics of the Household, Springer, vol. 20(3), pages 763-797, September.
    8. Godwin Attah Obande & Ahmad Ibrahim Bagudo & Suharni Mohamad & Zakuan Zainy Deris & Azian Harun & Chan Yean Yean & Ismail Aziah & Kirnpal Kaur Banga Singh, 2021. "Current State of COVID-19 Pandemic in Africa: Lessons for Today and the Future," IJERPH, MDPI, vol. 18(19), pages 1-15, September.
    9. Gottlieb Charles & Grobovšek Jan & Poschke Markus & Saltiel Fernando, 2022. "Lockdown Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 197-210, January.
    10. Alkire, Sabina & Nogales, Ricardo & Quinn, Natalie Naïri & Suppa, Nicolai, 2021. "Global multidimensional poverty and COVID-19: A decade of progress at risk?," Social Science & Medicine, Elsevier, vol. 291(C).
    11. Leo H. Kahane, 2021. "Politicizing the Mask: Political, Economic and Demographic Factors Affecting Mask Wearing Behavior in the USA," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 47(2), pages 163-183, April.
    12. Kuzmanic, Danilo & Valenzuela, Juan Pablo & Claro, Susana & Canales, Andrea & Cerda, Daniela & Undurraga, Eduardo A., 2023. "Socioeconomic disparities in the reopening of schools during the pandemic in Chile," International Journal of Educational Development, Elsevier, vol. 100(C).
    13. Iqbal,Syedah Aroob & Patrinos,Harry Anthony, 2023. "Learning during the Pandemic : Evidence from Uzbekistan," Policy Research Working Paper Series 10474, The World Bank.
    14. Xu,Yuanwei & Delius,Antonia Johanna Sophie & Pape,Utz Johann, 2022. "Gender Differences in Household Coping Strategies for COVID-19 in Kenya," Policy Research Working Paper Series 9959, The World Bank.
    15. Liu, Jing & Lee, Monica & Gershenson, Seth, 2021. "The short- and long-run impacts of secondary school absences," Journal of Public Economics, Elsevier, vol. 199(C).
    16. Chiara Burlina & Andrés Rodríguez-Pose, 2024. "Inequality, poverty, deprivation and the uneven spread of COVID-19 in Europe," Regional Studies, Taylor & Francis Journals, vol. 58(2), pages 263-284, February.
    17. Isaac K. Ofori & Mark K. Armah & Emmanuel E. Asmah, 2021. "Towards the Reversal of Poverty and Income Inequality Setbacks Due to COVID-19: The Role of Globalisation and Resource Allocation," Working Papers 21/043, European Xtramile Centre of African Studies (EXCAS).
    18. Kim Hua Tan & Poh Phui Chan & Nur-Ehsan Mohd Said, 2021. "Higher Education Students’ Online Instruction Perceptions: A Quality Virtual Learning Environment," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    19. Daryna Grechyna, 2023. "Elections and Policies: Evidence from the Covid Pandemic," CESifo Working Paper Series 10544, CESifo.
    20. Haelermans, Carla & Jacobs, Madelon & van Vugt, Lynn & Aarts, Bas & Abbink, Henry & Smeets, Chayenne & van der Velden, Rolf & van Wetten, Sanne, 2021. "A full year COVID-19 crisis with interrupted learning and two school closures: The effects on learning growth and inequality in primary education," ROA Research Memorandum 009, Maastricht University, Research Centre for Education and the Labour Market (ROA).

    More about this item

    Keywords

    Law and Justice Institutions; Health Care Services Industry; Communicable Diseases; Leprosy; Cholera; Public Health Promotion;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:9807. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.