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How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State.
Danielsen, Ann Caroline; Boulicault, Marion; Gompers, Annika; Rushovich, Tamara; Lee, Katharine M N; Richardson, Sarah S.
  • Danielsen AC; Harvard GenderSci Lab, Harvard University, Cambridge, MA 02138, USA.
  • Boulicault M; College of Computing, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Gompers A; Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Rushovich T; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
  • Lee KMN; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Richardson SS; Department of Anthropology, Tulane University, New Orleans, LA 70118, USA.
Int J Environ Res Public Health ; 19(21)2022 Oct 28.
Article in English | MEDLINE | ID: covidwho-2090165
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Female / Humans / Male Country/Region as subject: North America Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph192114066

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Female / Humans / Male Country/Region as subject: North America Language: English Year: 2022 Document Type: Article Affiliation country: Ijerph192114066