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How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State
Journal article   Open access   Peer reviewed

How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State

Ann Caroline Danielsen, Marion Boulicault, Annika Gompers, Tamara Rushovich, Katharine M N Lee and Sarah S Richardson
International journal of environmental research and public health, v 19(21), p14066
28 Oct 2022
DOI: https://doi.org/10.3390/ijerph192114066
PMID: 36360943
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.3390/ijerph192114066View
Published, Version of Record (VoR) Open

Abstract

COVID-19 - epidemiology Female Humans Male New York - epidemiology Pandemics
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.

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9 Record Views
3 citations in Web of Science
2 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
Web of Science research areas
Environmental Sciences
Public, Environmental & Occupational Health
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