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County-level estimates of excess mortality associated with COVID-19 in the United States

The COVID-19 pandemic in the U.S. has been largely monitored using death certificates containing reference to COVID-19. However, prior analyses reveal that a significant percentage of excess deaths associated with the pandemic were not directly assigned to COVID-19. In this study, we estimated a gen...

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Autores principales: Ackley, Calvin A., Lundberg, Dielle J., Ma, Lei, Elo, Irma T., Preston, Samuel H., Stokes, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730693/
https://www.ncbi.nlm.nih.gov/pubmed/35018297
http://dx.doi.org/10.1016/j.ssmph.2021.101021
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author Ackley, Calvin A.
Lundberg, Dielle J.
Ma, Lei
Elo, Irma T.
Preston, Samuel H.
Stokes, Andrew C.
author_facet Ackley, Calvin A.
Lundberg, Dielle J.
Ma, Lei
Elo, Irma T.
Preston, Samuel H.
Stokes, Andrew C.
author_sort Ackley, Calvin A.
collection PubMed
description The COVID-19 pandemic in the U.S. has been largely monitored using death certificates containing reference to COVID-19. However, prior analyses reveal that a significant percentage of excess deaths associated with the pandemic were not directly assigned to COVID-19. In this study, we estimated a generalized linear model of expected mortality based on historical trends in deaths by county of residence between 2011 and 2019. We used the results of the model to generate estimates of excess mortality and excess deaths not assigned to COVID-19 in 2020 for 1470 county sets in the U.S. representing 3138 counties. Across the country, we estimated that 438,386 excess deaths occurred in 2020, among which 87.5% were assigned to COVID-19. Some regions (Mideast, Great Lakes, New England, and Far West) reported the most excess deaths in large central metros, whereas other regions (Southwest, Southeast, Plains, and Rocky Mountains) reported the highest excess mortality in nonmetro areas. The proportion assigned to COVID-19 was lowest in large central metro areas (79.3%). Regionally, the proportion of excess deaths assigned to COVID-19 was lowest in the Southeast (81.6%), Southwest (82.6%), Far West (83.7%), and Rocky Mountains (86.7%). Across the regions, the number of excess deaths exceeded the number of directly assigned COVID-19 deaths in most counties. The exception to this pattern occurred in New England, which reported more directly assigned COVID-19 deaths than excess deaths in metro and nonmetro areas. Many county sets had substantial numbers of excess deaths that were not accounted for in direct COVID-19 death counts. Estimates of excess mortality at the local level can inform the allocation of resources to areas most impacted by the pandemic and contribute to positive behavior feedback loops, such as increases in mask-wearing and vaccine uptake.
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spelling pubmed-87306932022-01-06 County-level estimates of excess mortality associated with COVID-19 in the United States Ackley, Calvin A. Lundberg, Dielle J. Ma, Lei Elo, Irma T. Preston, Samuel H. Stokes, Andrew C. SSM Popul Health Article The COVID-19 pandemic in the U.S. has been largely monitored using death certificates containing reference to COVID-19. However, prior analyses reveal that a significant percentage of excess deaths associated with the pandemic were not directly assigned to COVID-19. In this study, we estimated a generalized linear model of expected mortality based on historical trends in deaths by county of residence between 2011 and 2019. We used the results of the model to generate estimates of excess mortality and excess deaths not assigned to COVID-19 in 2020 for 1470 county sets in the U.S. representing 3138 counties. Across the country, we estimated that 438,386 excess deaths occurred in 2020, among which 87.5% were assigned to COVID-19. Some regions (Mideast, Great Lakes, New England, and Far West) reported the most excess deaths in large central metros, whereas other regions (Southwest, Southeast, Plains, and Rocky Mountains) reported the highest excess mortality in nonmetro areas. The proportion assigned to COVID-19 was lowest in large central metro areas (79.3%). Regionally, the proportion of excess deaths assigned to COVID-19 was lowest in the Southeast (81.6%), Southwest (82.6%), Far West (83.7%), and Rocky Mountains (86.7%). Across the regions, the number of excess deaths exceeded the number of directly assigned COVID-19 deaths in most counties. The exception to this pattern occurred in New England, which reported more directly assigned COVID-19 deaths than excess deaths in metro and nonmetro areas. Many county sets had substantial numbers of excess deaths that were not accounted for in direct COVID-19 death counts. Estimates of excess mortality at the local level can inform the allocation of resources to areas most impacted by the pandemic and contribute to positive behavior feedback loops, such as increases in mask-wearing and vaccine uptake. Elsevier 2022-01-05 /pmc/articles/PMC8730693/ /pubmed/35018297 http://dx.doi.org/10.1016/j.ssmph.2021.101021 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Ackley, Calvin A.
Lundberg, Dielle J.
Ma, Lei
Elo, Irma T.
Preston, Samuel H.
Stokes, Andrew C.
County-level estimates of excess mortality associated with COVID-19 in the United States
title County-level estimates of excess mortality associated with COVID-19 in the United States
title_full County-level estimates of excess mortality associated with COVID-19 in the United States
title_fullStr County-level estimates of excess mortality associated with COVID-19 in the United States
title_full_unstemmed County-level estimates of excess mortality associated with COVID-19 in the United States
title_short County-level estimates of excess mortality associated with COVID-19 in the United States
title_sort county-level estimates of excess mortality associated with covid-19 in the united states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730693/
https://www.ncbi.nlm.nih.gov/pubmed/35018297
http://dx.doi.org/10.1016/j.ssmph.2021.101021
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