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A COVID-19 Risk Assessment for the US Labor Force
Sammantha Maher; Alexandra E Hill; Peter Britton; Eli P Fenichel; Peter Daszak; Carlos Zambrana-Torrelio; Jude Bayham.
Afiliação
  • Sammantha Maher; EcoHealth Alliance, New York City, NY
  • Alexandra E Hill; Colorado State University
  • Peter Britton; Colorado State University
  • Eli P Fenichel; Yale University
  • Peter Daszak; EcoHealth Alliance
  • Carlos Zambrana-Torrelio; EcoHealth Alliance
  • Jude Bayham; Colorado State University
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20063776
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. One Sentence SummaryThere is important variability in the proportion of the US workforce at risk for COVID-19 complications across regions, counties, and industries that should be considered when targeting control and relief policies, and a staged return to work.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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