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

Demographic science aids in understanding the spread and fatality rates of COVID-19
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 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.
0027-8424
9696-9698
Dowd, Jennifer Beam
b76ad0ef-91ad-427c-ba8d-4e7a441e68f7
Andriano, Liliana
d960ab52-0b87-4a01-940d-d1383a44257d
Brazel, David M.
c525b639-708b-4770-a242-59cd5a58245f
Rotondi, Valentina
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Block, Per
e81a5eec-5906-43b9-9ab0-447a855f11f6
Ding, Xuejie
65cb8f0f-bbd6-42d1-bb2b-f9f218f56b0b
Liu, Yan
335f43e4-0ddd-427c-b274-a0c966e3049d
Mills, Melinda C.
7910f37e-3b5e-4793-9414-535042333bb9
Dowd, Jennifer Beam
b76ad0ef-91ad-427c-ba8d-4e7a441e68f7
Andriano, Liliana
d960ab52-0b87-4a01-940d-d1383a44257d
Brazel, David M.
c525b639-708b-4770-a242-59cd5a58245f
Rotondi, Valentina
f3fd9765-6771-4205-b1af-f9f8e64c5466
Block, Per
e81a5eec-5906-43b9-9ab0-447a855f11f6
Ding, Xuejie
65cb8f0f-bbd6-42d1-bb2b-f9f218f56b0b
Liu, Yan
335f43e4-0ddd-427c-b274-a0c966e3049d
Mills, Melinda C.
7910f37e-3b5e-4793-9414-535042333bb9

Dowd, Jennifer Beam, Andriano, Liliana, Brazel, David M., Rotondi, Valentina, Block, Per, Ding, Xuejie, Liu, Yan and Mills, Melinda C. (2020) Demographic science aids in understanding the spread and fatality rates of COVID-19. Proceedings of the National Academy of Sciences, 117 (18), 9696-9698. (doi:10.1073/pnas.2004911117).

Record type: Article

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.

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e-pub ahead of print date: 16 April 2020
Published date: 5 May 2020

Identifiers

Local EPrints ID: 487513
URI: http://eprints.soton.ac.uk/id/eprint/487513
ISSN: 0027-8424
PURE UUID: b431515d-8b03-4953-aceb-d531d14926bf
ORCID for Liliana Andriano: ORCID iD orcid.org/0000-0002-4710-2667

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Date deposited: 22 Feb 2024 17:37
Last modified: 18 Mar 2024 04:08

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Contributors

Author: Jennifer Beam Dowd
Author: Liliana Andriano ORCID iD
Author: David M. Brazel
Author: Valentina Rotondi
Author: Per Block
Author: Xuejie Ding
Author: Yan Liu
Author: Melinda C. Mills

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