https://www.selleckchem.com/products/plx5622.html
The model predictions showed a sensitivity over 71% and specificity over 94% for models built using data from March 14 to 31, 2020. We found that population, population density, percentage of people aged 70 years, and prevalence of comorbidities play an important role in predicting COVID-19 occurrences. We observed a positive association at the county level between urbanicity and vulnerability to COVID-19. The developed model can be used for identification of vulnerable counties and potential data discrepancies. Limited testing faci
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