A COVID-19 Risk Assessment for the US Labor Force.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
17 Apr 2020
Historique:
pubmed: 9 6 2020
medline: 9 6 2020
entrez: 9 6 2020
Statut: epublish

Résumé

The consequences of COVID-19 infection varies substantially based on individual social risk factors and predisposing health conditions. Understanding this variability may be critical for targeting COVID-19 control measures, resources and policies, including efforts to return people back to the workplace. We compiled individual level data from the National Health Information Survey and Quarterly Census of Earnings and Wages to estimate the number of at-risk workers for each US county and industry, accounting for both social and health risks. Nearly 80% of all workers have at least one health risk and 11% are over 60 with an additional health risk. We document important variation in the at-risk population across states, counties, and industries that could provide a strategic underpinning to a staged return to work.

Identifiants

pubmed: 32511435
doi: 10.1101/2020.04.13.20063776
pmc: PMC7217089
pii:
doi:

Types de publication

Preprint

Langues

eng

Auteurs

Samantha Maher (S)

EcoHealth Alliance, New York City, NY.

Alexandra E Hill (AE)

Colorado State University, Fort Collins, CO.

Peter Britton (P)

Colorado State University, Fort Collins, CO.

Eli P Fenichel (EP)

Yale University, New Haven, CT.

Peter Daszak (P)

EcoHealth Alliance, New York City, NY.

Carlos Zambrana-Torrelio (C)

EcoHealth Alliance, New York City, NY.

Jude Bayham (J)

Colorado State University, Fort Collins, CO.

Classifications MeSH