The effect of state-level stay-at-home orders on COVID-19 infection rates
Published:May 24, 2020DOI:https://doi.org/10.1016/j.ajic.2020.05.017
- •We examined the effect of state-level stay-at-home orders on COVID-19 diagnoses.
- •Rates of confirmed cases were tracked before and after orders were put in place.
- •Logged infection rates were 0.113/day pre-order and 0.047/day post-order.
- •Results were consistent across states supporting the use of stay-at-home orders.
State-level stay-at-home orders were monitored to determine their effect on the rate of confirmed COVID-19 diagnoses. Confirmed cases were tracked before and after state-level stay-at-home orders were put in place. Linear regression techniques were used to determine slopes for log case count data, and meta analyses were conducted to combine data across states. The results were remarkably consistent across states and support the usefulness of stay-at-home orders in reducing COVID-19 infection rates.