COVID-19: On the Disparity in Outcomes Between Military and Civilian Populations.


Journal

Military medicine
ISSN: 1930-613X
Titre abrégé: Mil Med
Pays: England
ID NLM: 2984771R

Informations de publication

Date de publication:
04 01 2023
Historique:
received: 29 06 2021
revised: 11 08 2021
accepted: 23 09 2021
pubmed: 12 10 2021
medline: 11 1 2023
entrez: 11 10 2021
Statut: ppublish

Résumé

The CoronaVirus Disease 2019 (COVID-19) pandemic remains a formidable threat to populations around the world. The U.S. Military, in particular, represents a unique and distinguishable subset of the population, primarily due to the age and gender of active duty personnel. Current investigations have focused on health outcome forecasts for civilian populations, making them of limited value for military planning. We have developed and applied an age-structured susceptible, exposed, infectious, recovered, or dead compartmental model for both civilian and military populations, driven by estimates of the time-dependent reproduction number, R(t), which can be both fit to available data and also forecast future cases, intensive care unit (ICU) patients, and deaths. We show that the expected health outcomes for active duty military populations are substantially different than for civilian populations of the same size. Specifically, while the number of cases is not expected to differ dramatically, severity, both in terms of ICU burdens and deaths, is substantially lower. Our results confirm that the burden placed on military health centers will be substantially lower than that for equivalent-sized civilian populations. More practically, the tool we have developed to investigate this (https://q.predsci.com/covid19/) can be used by military health planners to estimate the resources needed in particular locations based on current estimates of the transmission profiles of COVID-19 within the surrounding civilian population in which the military installation is embedded. As this tool continues to be developed, it can be used to assess the likely impact of different intervention strategies, as well as vaccine policies; both for the current pandemic as well as future ones.

Identifiants

pubmed: 34632512
pii: 6387156
doi: 10.1093/milmed/usab404
pmc: PMC8524473
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

311-315

Subventions

Organisme : Wellcome Trust
ID : 200861/Z/16/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19012
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/J008761/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom

Informations de copyright

© The Association of Military Surgeons of the United States 2021.

Auteurs

Pete Riley (P)

Predictive Science Inc., San Diego, CA 92121, USA.

Michal Ben-Nun (M)

Predictive Science Inc., San Diego, CA 92121, USA.

James Turtle (J)

Predictive Science Inc., San Diego, CA 92121, USA.

David Bacon (D)

Leidos Inc., Tysons, VA 22182, USA.

Akeisha N Owens (AN)

Defense Threat Reduction Agency (DTRA) Reachback, Fort Belvoir, VA 22060-6201, USA.

Steven Riley (S)

Department of Infectious Disease Epidemiology, School of Public Health, Imperial College, London, SW7 2BX, UK.

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Classifications MeSH