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Comparing COVID-19 fatality across countries: a synthetic demographic indicator

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  • Simona Bignami-Van Assche

    (Université de Montréal)

  • Daniela Ghio

    (European Commission Joint Research Centre)

Abstract

Background The case fatality rate (CFR) is one of the most important measures for monitoring disease progression and evaluating appropriate policy health measures over the course of the COVID-19 pandemic. To remove biases arising from the age structure of COVID-19 cases in international comparisons of the CFR, existing studies have relied mainly on direct standardisation. Objective We propose and validate a synthetic indicator of COVID-19 fatality (SCFR) that improves its comparability across countries by adjusting for the age and sex structure of COVID-19 cases without relying on the arbitrary choice of a standard population. Results Contrary to what comparisons of the crude CFR suggest, differences in COVID-19 fatality across countries according to the proposed SCFR are not very stark. Importantly, once we adjust for the age structure of COVID-19 cases, the higher case fatality among men emerges as the main driver of international differences in COVID-19 CFR. Conclusions The SCFR is a simple indicator that is useful for monitoring the fatality of SARS-CoV-2 mutations and the efficacy of health policy measures for COVID-19, including vaccination. Contributions (1) A simple synthetic indicator of COVID-19 fatality that improves its comparability across countries by adjusting for the age and sex structure of COVID-19 cases; (2) Evidence that sex differences in COVID-19 fatality drive international differences in the overall CFR.

Suggested Citation

  • Simona Bignami-Van Assche & Daniela Ghio, 2022. "Comparing COVID-19 fatality across countries: a synthetic demographic indicator," Journal of Population Research, Springer, vol. 39(4), pages 513-525, December.
    • Handle: RePEc:spr:joprea:v:39:y:2022:i:4:d:10.1007_s12546-022-09289-1
    DOI: 10.1007/s12546-022-09289-1
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    References listed on IDEAS

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    1. Takehiro Takahashi & Mallory K. Ellingson & Patrick Wong & Benjamin Israelow & Carolina Lucas & Jon Klein & Julio Silva & Tianyang Mao & Ji Eun Oh & Maria Tokuyama & Peiwen Lu & Arvind Venkataraman & , 2020. "Sex differences in immune responses that underlie COVID-19 disease outcomes," Nature, Nature, vol. 588(7837), pages 315-320, December.
    2. Anthony Medford & Sergi Trias-Llimós, 2020. "Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(19), pages 533-544.
    3. Christian Dudel & Timothy Riffe & Enrique Acosta & Alyson A. van Raalte & Cosmo Strozza & Mikko Myrskylä, 2020. "Monitoring trends and differences in COVID-19 case-fatality rates using decomposition methods: contributions of age structure and age-specific fatality," MPIDR Working Papers WP-2020-020, Max Planck Institute for Demographic Research, Rostock, Germany.
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    Cited by:

    1. Giménez, Víctor & Prior, Diego & Thieme, Claudio & Tortosa-Ausina, Emili, 2024. "International comparisons of COVID-19 pandemic management: What can be learned from activity analysis techniques?," Omega, Elsevier, vol. 122(C).

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