Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Dowd, Jennifer Beam, Andriano, Liliana, Brazel, David M., Rotondi, Valentina, Block, Per, Ding, Xuejie, Liu, Yan, Mills, Melinda C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
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
_version_ 1783531540415774720
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
work_keys_str_mv AT dowdjenniferbeam demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT andrianoliliana demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT brazeldavidm demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT rotondivalentina demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT blockper demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT dingxuejie demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT liuyan demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19
AT millsmelindac demographicscienceaidsinunderstandingthespreadandfatalityratesofcovid19