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On measuring COVID-19 excess mortality: Insights and challenges

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  • Arik, Ayse
  • Klein, Allen
  • Li, Han

Abstract

In this paper, we examine all-cause excess mortality due to the COVID-19 pandemic across 16 countries by age and sex. Utilising the Short-Term Fluctuations data series from the Human Mortality Database, we analyse various measures of excess mortality on weekly and yearly basis from 2020 through the end of 2023. We explore the strengths and limitations of different approaches to offer a comprehensive understanding of the pandemic’s impact on diverse nations. Specifically, we evaluate two methodologies employed by the UK’s Office for National Statistics, considering observed death counts both with and without adjusting for population sizes. We also apply a method based on annual mortality improvements and, as a final approach, implement a statistical model to weekly death counts. Each method defines excess mortality differently, allowing for comparison across alternative perspectives. Our analysis demonstrates largely consistent outcomes across different measures during the first two years of the pandemic, with significant variations in the last two years. These findings contribute to a nuanced understanding of various measures by highlighting their strengths and limitations.

Suggested Citation

  • Arik, Ayse & Klein, Allen & Li, Han, 2026. "On measuring COVID-19 excess mortality: Insights and challenges," Insurance: Mathematics and Economics, Elsevier, vol. 126(C).
  • Handle: RePEc:eee:insuma:v:126:y:2026:i:c:s0167668725001453
    DOI: 10.1016/j.insmatheco.2025.103199
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    1. Logan E. Mitchell & Chris A. B. Zajchowski, 2022. "The History of Air Quality in Utah: A Narrative Review," Sustainability, MDPI, vol. 14(15), pages 1-26, August.
    2. Hyndman, Rob J. & Khandakar, Yeasmin, 2008. "Automatic Time Series Forecasting: The forecast Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 27(i03).
    3. Czado, Claudia & Delwarde, Antoine & Denuit, Michel, 2005. "Bayesian Poisson log-bilinear mortality projections," Insurance: Mathematics and Economics, Elsevier, vol. 36(3), pages 260-284, June.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    5. van Berkum, Frank & Melenberg, Bertrand & Vellekoop, Michel, 2025. "Estimating the impact of COVID-19 on mortality using granular data," Insurance: Mathematics and Economics, Elsevier, vol. 121(C), pages 144-156.
    6. Ilya Klimkin & Vladimir M. Shkolnikov & Dmitri A. Jdanov, 2021. "Calculation of week-specific age-standardized death rates from STMF data on mortality by broad age intervals," MPIDR Working Papers WP-2021-004, Max Planck Institute for Demographic Research, Rostock, Germany.
    7. Marília R. Nepomuceno & Ilya Klimkin & Dmitri A. Jdanov & Ainhoa Alustiza‐Galarza & Vladimir M. Shkolnikov, 2022. "Sensitivity Analysis of Excess Mortality due to the COVID‐19 Pandemic," Population and Development Review, The Population Council, Inc., vol. 48(2), pages 279-302, June.
    8. Lifang Chen & Minghui Han & Yong Li & William L. Megginson & Hao Zhang, 2022. "Foreign ownership and corporate excess perks," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 53(1), pages 72-93, February.
    9. Ayşe Arık & Andrew J.G. Cairns & Erengul Dodd & Angus S. Macdonald & George Streftaris, 2024. "The effect of the COVID-19 health disruptions on breast cancer mortality for older women: a semi-Markov modelling approach," Scandinavian Actuarial Journal, Taylor & Francis Journals, vol. 2024(8), pages 848-879, September.
    10. Gregory F. Funston & Paige E. dePolo & Jakub T. Sliwinski & Matthew Dumont & Sarah L. Shelley & Laetitia E. Pichevin & Nicola J. Cayzer & John R. Wible & Thomas E. Williamson & James W. B. Rae & Steph, 2022. "The origin of placental mammal life histories," Nature, Nature, vol. 610(7930), pages 107-111, October.
    11. Duc Minh La & Hai L. Vu & Liton Kamruzzaman & Eric Miller, 2025. "Population synthesis: a problem-based review," Transport Reviews, Taylor & Francis Journals, vol. 45(3), pages 366-389, May.
    12. Li, Han & Li, Hong & Lu, Yang & Panagiotelis, Anastasios, 2019. "A forecast reconciliation approach to cause-of-death mortality modeling," Insurance: Mathematics and Economics, Elsevier, vol. 86(C), pages 122-133.
    13. Carter, Lawrence R. & Lee, Ronald D., 1992. "Modeling and forecasting US sex differentials in mortality," International Journal of Forecasting, Elsevier, vol. 8(3), pages 393-411, November.
    14. Brouhns, Natacha & Denuit, Michel & Vermunt, Jeroen K., 2002. "A Poisson log-bilinear regression approach to the construction of projected lifetables," Insurance: Mathematics and Economics, Elsevier, vol. 31(3), pages 373-393, December.
    15. Emily Cameron-Blake & Helen Tatlow & Bernardo Andretti & Thomas Boby & Kaitlyn Green & Thomas Hale & Anna Petherick & Toby Phillips & Annalena Pott & Adam Wade & Hao Zha, 2023. "A panel dataset of COVID-19 vaccination policies in 185 countries," Nature Human Behaviour, Nature, vol. 7(8), pages 1402-1413, August.
    16. Pitacco, Ermanno & Denuit, Michel & Haberman, Steven & Olivieri, Annamaria, 2009. "Modelling Longevity Dynamics for Pensions and Annuity Business," OUP Catalogue, Oxford University Press, number 9780199547272.
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