We analyzed county-level data on rapid riser identification during June 1-September 30, 2020 and statewide closures and statewide mask mandates starting March 19 (obtained from state government websites). Poisson regression models with robust standard error estimation were used to examine differences in the probability of rapid riser identification by implementation of mitigation policies (P-value<.05); associations were adjusted for county population size.
Community mitigation strategies could help reduce COVID-19 incidence. In a national county-level analysis, we examined the probability of being identified as a county with rapidly increasing COVID-19 incidence (rapid riser identification) during the summer of 2020 by implementation of mitigation policies prior to the summer, overall and by urbanicity.
Counties in states that closed for 0-59 days were more likely to become a rapid riser county than those that closed for >59 days, particularly in nonmetropolitan areas. The probability of becoming a rapid riser county was 43% lower among counties that had statewide mask mandates at reopening (adjusted prevalence ratio [aPR] = 0.57; 95% confidence intervals [CI] = 0.51-0.63); when stratified by urbanicity, associations were more pronounced in nonmetropolitan areas.
These results underscore the potential value of community mitigation strategies in limiting the COVID-19 spread, especially in nonmetropolitan areas.
Dasgupta S, Kassem AM, Sunshine G, Liu T, Rose C, Kang G, Silver R, Maddox BLP, Watson C, Howard-Williams M, Gakh M, McCord R, Weber R, Fletcher K, Musial T, Tynan MA, Hulkower R, Moreland A, Pepin D, Landsman L, Brown A, Gilchrist S, Clodfelter C, Williams M, Cramer R, Limeres A, Popoola A, Dugmeoglu S, Shelburne J, Jeong G, Rao CY. (2021). Differences in rapid increases in county-level COVID-19 incidence by implementation of statewide closures and mask mandates - United States, June 1-September 30, 2020. Annals of epidemiology