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Sex disparities in COVID-19 mortality vary considerably across time: The case of New York State
Ann Caroline Danielsen; Marion MN Boulicault; Annika Gompers; Tamara Rushovich; Katharine MN Lee; Sarah S Richardson.
Afiliación
  • Ann Caroline Danielsen; Harvard GenderSci Lab
  • Marion MN Boulicault; Massachusetts Institute of Technology
  • Annika Gompers; Beth Israel Deaconess Medical Center
  • Tamara Rushovich; Harvard T.H. Chan School of Public Health
  • Katharine MN Lee; Washington University in St. Louis
  • Sarah S Richardson; Harvard University
Preprint en Inglés | medRxiv | ID: ppmedrxiv-22269104
ABSTRACT
In order to characterize how sex disparities in COVID-19 mortality evolved over time in New York State (NY), we analyzed sex-disaggregated data from the US Gender/Sex COVID-19 Data Tracker from March 14, 2020 to August 28, 2021. We defined six different time periods and calculated mortality rates by sex and mortality rate ratios, both cumulatively and for each time period separately. As of August 28, 2021, 19 227 (44.2%) women and 24 295 (55.8%) men died from COVID-19 in NY. 72.7% of the cumulative difference in the number of COVID-19 deaths between women and men was accrued between March 14 and May 4, 2020. During this period, the COVID-19 mortality rate ratio for men compared to women was 1.56 (95% CI 1.52-1.61). In the five subsequent time periods, the corresponding ratio ranged between 1.08 (0.98-1.18) and 1.24 (1.15-1.34). While the cumulative mortality rate ratio of men compared to women was 1.34 (1.31-1.37), the ratio equals 1.19 (1.16-1.22) if deaths during the initial COVID-19 surge are excluded from the analysis. This article shows that in NY the magnitude of sex disparities in COVID-19 mortality was not stable across time. While the initial surge in COVID-19 mortality was characterized by stark sex disparities, these were greatly attenuated after the introduction of public health controls.
Licencia
cc_by_nc_nd
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Estudio observacional Idioma: Inglés Año: 2022 Tipo del documento: Preprint
Texto completo: Disponible Colección: Preprints Base de datos: medRxiv Tipo de estudio: Estudio observacional Idioma: Inglés Año: 2022 Tipo del documento: Preprint
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