How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State
Name
ijerph-19-14066-v2.pdf
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497.5 KB
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7405bfe6ad301c6254328775670d267f
Author(s)
Danielsen, Ann Caroline
Boulicault, Marion
Gompers, Annika
Rushovich, Tamara
Lee, Katharine M. N.
Richardson, Sarah S.
Date Issued
October 28, 2022
Publisher
Multidisciplinary Digital Publishing Institute
Citation
International Journal of Environmental Research and Public Health 19 (21): 14066 (2022)
Version
Final published version
Abstract
Overall, men have died from COVID-19 at slightly higher rates than women. But cumulative estimates of mortality by sex may be misleading. We analyze New York State COVID-19 mortality by sex between March 2020 and August 2021, demonstrating that 72.7% of the total difference in the number of COVID-19 deaths between women and men was accrued in the first seven weeks of the pandemic. Thus, while the initial surge in COVID-19 mortality was characterized by stark sex disparities, this article shows that disparities were greatly attenuated in subsequent phases of the pandemic. Investigating changes over time could help illuminate how contextual factors contributed to the development of apparent sex disparities in COVID-19 outcomes.
MIT Department
MIT Schwarzmann College of Computing
Massachusetts Institute of Technology. Department of Linguistics and Philosophy
Terms of Use
Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.3390/ijerph192114066
