Demographic science aids in understanding the spread and fatality rates of COVID-19

被引:556
作者
Dowd, Jennifer Beam [1 ]
Andriano, Liliana [1 ]
Brazel, David M. [1 ]
Rotondi, Valentina [1 ]
Block, Per [1 ]
Ding, Xuejie [1 ]
Liu, Yan [1 ]
Mills, Melinda C. [1 ]
机构
[1] Univ Oxford, Nuffield Coll, Leverhulme Ctr Demog Sci, Oxford OX1 3UQ, England
基金
欧盟地平线“2020”;
关键词
COVID-19; demography; age structure; mortality;
D O I
10.1073/pnas.2004911117
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:9696 / 9698
页数:3
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