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Demographic science aids in understanding the spread and fatality rates of COVID-19
Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211934/ https://www.ncbi.nlm.nih.gov/pubmed/32300018 http://dx.doi.org/10.1073/pnas.2004911117 |
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author | Dowd, Jennifer Beam Andriano, Liliana Brazel, David M. Rotondi, Valentina Block, Per Ding, Xuejie Liu, Yan Mills, Melinda C. |
author_facet | Dowd, Jennifer Beam Andriano, Liliana Brazel, David M. Rotondi, Valentina Block, Per Ding, Xuejie Liu, Yan Mills, Melinda C. |
author_sort | Dowd, Jennifer Beam |
collection | PubMed |
description | Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider the age composition of local and national contexts as well as intergenerational interactions. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted forecasting of hospitalization and critical care needs. |
format | Online Article Text |
id | pubmed-7211934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-72119342020-05-15 Demographic science aids in understanding the spread and fatality rates of COVID-19 Dowd, Jennifer Beam Andriano, Liliana Brazel, David M. Rotondi, Valentina Block, Per Ding, Xuejie Liu, Yan Mills, Melinda C. Proc Natl Acad Sci U S A Social Sciences Governments around the world must rapidly mobilize and make difficult policy decisions to mitigate the coronavirus disease 2019 (COVID-19) pandemic. Because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds. We examine the role of age structure in deaths thus far in Italy and South Korea and illustrate how the pandemic could unfold in populations with similar population sizes but different age structures, showing a dramatically higher burden of mortality in countries with older versus younger populations. This powerful interaction of demography and current age-specific mortality for COVID-19 suggests that social distancing and other policies to slow transmission should consider the age composition of local and national contexts as well as intergenerational interactions. We also call for countries to provide case and fatality data disaggregated by age and sex to improve real-time targeted forecasting of hospitalization and critical care needs. National Academy of Sciences 2020-05-05 2020-04-16 /pmc/articles/PMC7211934/ /pubmed/32300018 http://dx.doi.org/10.1073/pnas.2004911117 Text en Copyright © 2020 the Author(s). Published by PNAS. http://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Social Sciences Dowd, Jennifer Beam Andriano, Liliana Brazel, David M. Rotondi, Valentina Block, Per Ding, Xuejie Liu, Yan Mills, Melinda C. Demographic science aids in understanding the spread and fatality rates of COVID-19 |
title | Demographic science aids in understanding the spread and fatality rates of COVID-19 |
title_full | Demographic science aids in understanding the spread and fatality rates of COVID-19 |
title_fullStr | Demographic science aids in understanding the spread and fatality rates of COVID-19 |
title_full_unstemmed | Demographic science aids in understanding the spread and fatality rates of COVID-19 |
title_short | Demographic science aids in understanding the spread and fatality rates of COVID-19 |
title_sort | demographic science aids in understanding the spread and fatality rates of covid-19 |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211934/ https://www.ncbi.nlm.nih.gov/pubmed/32300018 http://dx.doi.org/10.1073/pnas.2004911117 |
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