How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State
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...
| Main Authors: | , , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | https://hdl.handle.net/1721.1/146311 |
| _version_ | 1811090006041690112 |
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| author | Danielsen, Ann Caroline Boulicault, Marion Gompers, Annika Rushovich, Tamara Lee, Katharine M. N. Richardson, Sarah S. |
| author2 | MIT Schwarzmann College of Computing |
| author_facet | MIT Schwarzmann College of Computing Danielsen, Ann Caroline Boulicault, Marion Gompers, Annika Rushovich, Tamara Lee, Katharine M. N. Richardson, Sarah S. |
| author_sort | Danielsen, Ann Caroline |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:29:49Z |
| format | Article |
| id | mit-1721.1/146311 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:29:49Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| record_format | dspace |
| spelling | mit-1721.1/1463112023-02-16T16:06:39Z 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. MIT Schwarzmann College of Computing Massachusetts Institute of Technology. Department of Linguistics and Philosophy 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. 2022-11-10T16:53:51Z 2022-11-10T16:53:51Z 2022-10-28 2022-11-10T14:27:16Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/146311 International Journal of Environmental Research and Public Health 19 (21): 14066 (2022) PUBLISHER_CC http://dx.doi.org/10.3390/ijerph192114066 Creative Commons Attribution https://creativecommons.org/licenses/by/4.0/ application/pdf Multidisciplinary Digital Publishing Institute Multidisciplinary Digital Publishing Institute |
| spellingShingle | Danielsen, Ann Caroline Boulicault, Marion Gompers, Annika Rushovich, Tamara Lee, Katharine M. N. Richardson, Sarah S. How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State |
| title | How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State |
| title_full | How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State |
| title_fullStr | How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State |
| title_full_unstemmed | How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State |
| title_short | How Cumulative Statistics Can Mislead: The Temporal Dynamism of Sex Disparities in COVID-19 Mortality in New York State |
| title_sort | how cumulative statistics can mislead the temporal dynamism of sex disparities in covid 19 mortality in new york state |
| url | https://hdl.handle.net/1721.1/146311 |
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