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Vaccinating the oldest against COVID-19 saves both the most lives and most years of life

Many competing criteria are under consideration for prioritizing COVID-19 vaccination. Two criteria based on age are demographic: lives saved and years of future life saved. Vaccinating the very old against COVID-19 saves the most lives, but, since older age is accompanied by falling life expectancy...

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Detalles Bibliográficos
Autores principales: Goldstein, Joshua R., Cassidy, Thomas, Wachter, Kenneth W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980436/
https://www.ncbi.nlm.nih.gov/pubmed/33632802
http://dx.doi.org/10.1073/pnas.2026322118
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author Goldstein, Joshua R.
Cassidy, Thomas
Wachter, Kenneth W.
author_facet Goldstein, Joshua R.
Cassidy, Thomas
Wachter, Kenneth W.
author_sort Goldstein, Joshua R.
collection PubMed
description Many competing criteria are under consideration for prioritizing COVID-19 vaccination. Two criteria based on age are demographic: lives saved and years of future life saved. Vaccinating the very old against COVID-19 saves the most lives, but, since older age is accompanied by falling life expectancy, it is widely supposed that these two goals are in conflict. We show this to be mistaken. The age patterns of COVID-19 mortality are such that vaccinating the oldest first saves the most lives and, surprisingly, also maximizes years of remaining life expectancy. We demonstrate this relationship empirically in the United States, Germany, and South Korea and with mathematical analysis of life tables. Our age-risk results, under usual conditions, also apply to health risks.
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spelling pubmed-79804362021-03-26 Vaccinating the oldest against COVID-19 saves both the most lives and most years of life Goldstein, Joshua R. Cassidy, Thomas Wachter, Kenneth W. Proc Natl Acad Sci U S A Social Sciences Many competing criteria are under consideration for prioritizing COVID-19 vaccination. Two criteria based on age are demographic: lives saved and years of future life saved. Vaccinating the very old against COVID-19 saves the most lives, but, since older age is accompanied by falling life expectancy, it is widely supposed that these two goals are in conflict. We show this to be mistaken. The age patterns of COVID-19 mortality are such that vaccinating the oldest first saves the most lives and, surprisingly, also maximizes years of remaining life expectancy. We demonstrate this relationship empirically in the United States, Germany, and South Korea and with mathematical analysis of life tables. Our age-risk results, under usual conditions, also apply to health risks. National Academy of Sciences 2021-03-16 2021-02-25 /pmc/articles/PMC7980436/ /pubmed/33632802 http://dx.doi.org/10.1073/pnas.2026322118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Goldstein, Joshua R.
Cassidy, Thomas
Wachter, Kenneth W.
Vaccinating the oldest against COVID-19 saves both the most lives and most years of life
title Vaccinating the oldest against COVID-19 saves both the most lives and most years of life
title_full Vaccinating the oldest against COVID-19 saves both the most lives and most years of life
title_fullStr Vaccinating the oldest against COVID-19 saves both the most lives and most years of life
title_full_unstemmed Vaccinating the oldest against COVID-19 saves both the most lives and most years of life
title_short Vaccinating the oldest against COVID-19 saves both the most lives and most years of life
title_sort vaccinating the oldest against covid-19 saves both the most lives and most years of life
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980436/
https://www.ncbi.nlm.nih.gov/pubmed/33632802
http://dx.doi.org/10.1073/pnas.2026322118
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