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Global years of life lost to COVID-19

Author

Listed:
  • Arolas, Héctor Pifarré i
  • Acosta, Enrique

    (Max Planck Institute for Demographic Research)

  • Casasnovas, Guillem López
  • Lo, Adeline
  • Nicodemo, Catia
  • Riffe, Tim
  • Myrskylä, Mikko

Abstract

Understanding the mortality impact of COVID-19 requires not only counting the dead, but analyzing how premature the deaths are. We calculate years of life lost (YLL) across 42 countries due to COVID-19 attributable deaths, and also conduct an analysis based on estimated excess deaths. As of June 13th 2020, YLL in heavily affected countries are 2 to 6 times the average seasonal influenza; over two thirds of the YLL result from deaths in ages below 75 and one quarter from deaths below 55; and men have lost 47% more life years than women. The results confirm the large mortality impact of COVID-19 among the elderly. They also call for heightened awareness in devising policies that protect vulnerable demographics losing the largest number of life-years.

Suggested Citation

  • Arolas, Héctor Pifarré i & Acosta, Enrique & Casasnovas, Guillem López & Lo, Adeline & Nicodemo, Catia & Riffe, Tim & Myrskylä, Mikko, 2020. "Global years of life lost to COVID-19," SocArXiv gveaj, Center for Open Science.
  • Handle: RePEc:osf:socarx:gveaj
    DOI: 10.31219/osf.io/gveaj
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    References listed on IDEAS

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    1. Enrique Acosta & Stacey A. Hallman & Lisa Y. Dillon & Nadine Ouellette & Robert Bourbeau & D. Ann Herring & Kris Inwood & David J. D. Earn & Joaquin Madrenas & Matthew S. Miller & Alain Gagnon, 2019. "Determinants of Influenza Mortality Trends: Age-Period-Cohort Analysis of Influenza Mortality in the United States, 1959–2016," Demography, Springer;Population Association of America (PAA), vol. 56(5), pages 1723-1746, October.
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    Cited by:

    1. Timothy Riffe & Enrique Acosta & José M. Aburto & Diego Alburez-Gutierrez & Ugofilippo Basellini & Anna Altová & Simona Bignami-Van Assche & Didier Breton & Eungang Choi & Jorge Cimentada & Gonzalo De, 2020. "COVerAGE-DB: a database of age-structured COVID-19 cases and deaths," MPIDR Working Papers WP-2020-032, Max Planck Institute for Demographic Research, Rostock, Germany.
    2. Duro, Juan Antonio & Osório, António & Perez-Laborda, Alejandro, 2024. "Modeling uncertainty in tourism markets," Annals of Tourism Research, Elsevier, vol. 107(C).

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