Author: Sammantha Maher; Alexandra E Hill; Peter Britton; Eli P Fenichel; Peter Daszak; Carlos Zambrana-Torrelio; Jude Bayham
Title: A COVID-19 Risk Assessment for the US Labor Force Document date: 2020_4_17
ID: 10zjo2xh_36
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.13.20063776 doi: medRxiv preprint throughout the year. We use these data rather than estimates of the number of workers because they bear more significance in understanding the impacts of COVID-19 on potential disruptions to businesses and the U.S. economy, more broadly. For each county and industry, we sum employment across all ownership.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.13.20063776 doi: medRxiv preprint throughout the year. We use these data rather than estimates of the number of workers because they bear more significance in understanding the impacts of COVID-19 on potential disruptions to businesses and the U.S. economy, more broadly. For each county and industry, we sum employment across all ownership types (private and local, state, and federal government) to obtain one estimate of total annual employment per county and 3-digit NAICS industry. We then 5 match each NAICS industry to the corresponding NHIS industry to combine the employment figures with data on health risk factors.
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