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

The design of our data dashboard enables thousands of different combinations of 5 geographical area, industry, and risk factor to be viewed and compared. We enable comparisons between different combinations of filters by displaying the confidence intervals for all summary statistics within the dashboard. For example, in the Northeast United States, the proportion of the healthcare workforce that is over 60 and has an additional health risk factor (16.2% ± 2.2) is on average higher than in the rest of the country (12.2% ± 0.9). In contrast, the healthcare 10 workforce in counties in the south, mid-west, and west is more likely to delay seeking healthcare due to cost (9.3 ± .08) than in the Northeast (5.8% ±1.7). There are notable outliers in poorer nearly twice as likely to be over 60 and at risk than the national average; crop and animal production on the Atlantic seaboard from New Jersey to Maine; and oil and gas extraction and processing in Pennsylvania. Some of these trends might not align with regional averages and . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.