About: A COVID-19 Risk Assessment for the US Labor Force

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	A COVID-19 Risk Assessment for the US Labor Force
Creator	Daszak, Peter Zambrana-Torrelio, Carlos Fenichel, Eli Bayham, Jude Britton, Peter Hill, Alexandra Maher, Samantha
source	MedRxiv; Medline; PMC
abstract	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.
has issue date	2020-04-17(xsd:dateTime)
bibo:doi	10.1101/2020.04.13.20063776
bibo:pmid	32511435
has license	cc-by-nc-nd
sha1sum (hex)	299117c1f086709d09d7401cf54677665b5f5caf
schema:url	https://doi.org/10.1101/2020.04.13.20063776
resource representing a document's title	A COVID-19 Risk Assessment for the US Labor Force
has PubMed Central identifier	PMC7217089
has PubMed identifier	32511435
schema:publication	medRxiv
resource representing a document's body	covid:299117c1f086709d09d7401cf54677665b5f5caf#body_text
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