tetano
Editor, Senior Moderator
Proc Natl Acad Sci U S A. 2020 Apr 16. pii: 202004911. doi: 10.1073/pnas.2004911117. [Epub ahead of print]
Demographic science aids in understanding the spread and fatality rates of COVID-19.
Dowd JB[SUP]1[/SUP], Andriano L[SUP]2[/SUP], Brazel DM[SUP]2[/SUP], Rotondi V[SUP]2[/SUP], Block P[SUP]2[/SUP], Ding X[SUP]2[/SUP], Liu Y[SUP]2[/SUP], Mills MC[SUP]1[/SUP].
Author information
Abstract
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.
Copyright ? 2020 the Author(s). Published by PNAS.
KEYWORDS:
COVID-19; age structure; demography; mortality
PMID:32300018DOI:10.1073/pnas.2004911117
Demographic science aids in understanding the spread and fatality rates of COVID-19.
Dowd JB[SUP]1[/SUP], Andriano L[SUP]2[/SUP], Brazel DM[SUP]2[/SUP], Rotondi V[SUP]2[/SUP], Block P[SUP]2[/SUP], Ding X[SUP]2[/SUP], Liu Y[SUP]2[/SUP], Mills MC[SUP]1[/SUP].
Author information
Abstract
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.
Copyright ? 2020 the Author(s). Published by PNAS.
KEYWORDS:
COVID-19; age structure; demography; mortality
PMID:32300018DOI:10.1073/pnas.2004911117