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Excess mortality: Measuring the direct and indirect impact of COVID-19

Author

Listed:
  • David Morgan

    (OECD)

  • Junya Ino

    (OECD)

  • Gabriel Di Paolantonio

    (OECD)

  • Fabrice Murtin

    (OECD)

Abstract

Assessing the direct and indirect health impact of the COVID 19 pandemic is central in managing public health and other policy measures while learning to co-exist with the virus. Many countries are publishing statistics on COVID 19 related mortality. While the frequent and timely publication of such figures provides insights into the ongoing trends in a given country, differences in coding and reporting practices pose challenges for international comparisons. Looking at the number of total deaths can help to overcome some of these differences in national practices whilst also providing a better view of the overall impact of COVID 19, by taking into account not just the possible underreporting of COVID 19 deaths but also indirect mortality caused, for example, by health systems not being able to cope with other conditions – acute and chronic.

Suggested Citation

  • David Morgan & Junya Ino & Gabriel Di Paolantonio & Fabrice Murtin, 2020. "Excess mortality: Measuring the direct and indirect impact of COVID-19," OECD Health Working Papers 122, OECD Publishing.
    • Handle: RePEc:oec:elsaad:122-en
    DOI: 10.1787/c5dc0c50-en
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    Cited by:

    1. Enrico Grande & Ugo Fedeli & Marilena Pappagallo & Roberta Crialesi & Stefano Marchetti & Giada Minelli & Ivano Iavarone & Luisa Frova & Graziano Onder & Francesco Grippo, 2022. "Variation in Cause-Specific Mortality Rates in Italy during the First Wave of the COVID-19 Pandemic: A Study Based on Nationwide Data," IJERPH, MDPI, vol. 19(2), pages 1-13, January.
    2. Virat Agrawal & Jonathan H. Cantor & Neeraj Sood & Christopher M. Whaley, 2021. "The Impact of the COVID-19 Pandemic and Policy Responses on Excess Mortality," NBER Working Papers 28930, National Bureau of Economic Research, Inc.
    3. Johan Verbeeck & Christel Faes & Thomas Neyens & Niel Hens & Geert Verbeke & Patrick Deboosere & Geert Molenberghs, 2023. "A linear mixed model to estimate COVID‐19‐induced excess mortality," Biometrics, The International Biometric Society, vol. 79(1), pages 417-425, March.
    4. Richard J. Sheppard & Oliver J. Watson & Rachel Pieciak & James Lungu & Geoffrey Kwenda & Crispin Moyo & Stephen Longa Chanda & Gregory Barnsley & Nicholas F. Brazeau & Ines C. G. Gerard-Ursin & Danie, 2023. "Using mortuary and burial data to place COVID-19 in Lusaka, Zambia within a global context," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    More about this item

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

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