SARS-CoV-2 transmission potential and rural-urban disease burden disparities across Alabama, Louisiana, and Mississippi, March 2020 — May 2021

Abstract

PurposeTo quantify and compare SARS-CoV-2 transmission potential across Alabama, Louisiana, and Mississippi and selected counties with populations in the 50th, 75th, and 100th percentile.MethodsTo determine the time-varying reproduction number Rt of SARS-CoV-2, we applied the R package EpiEstim to the time series of daily incidence of confirmed cases. Median Rt percentage change when policies changed was determined. Linear regression was performed between log10-transformed cumulative incidence and log10-transformed population size at four time points.ResultsStay-at-home orders, face mask mandates, and vaccinations were associated with the most significant reductions in SARS-CoV-2 transmission in the three southern states. Rt across the three states decreased significantly by 20% following stay-at-home orders. We observed varying degrees of reductions in Rt across states following other policies. Rural Alabama counties experienced higher per capita cumulative cases relative to urban ones as of June 17 and October 17, 2020. Meanwhile, Louisiana and Mississippi saw the disproportionate impact of SARS-CoV-2 in rural counties compared to urban ones throughout the study period.ConclusionState and county policies had an impact on local pandemic trajectories. The rural-urban disparities in case burden call for evidence-based approaches in tailoring health promotion interventions and vaccination campaigns to rural residents.

Investigating COVID-19 transmission and mortality differences between indigenous and non-indigenous populations in Mexico

“…We also used the nonoverlapping time window method to estimate the average R t for the early ascending phase for each of the COVID-19 waves. For the R t estimation, the distribution of serial interval was parametrically defined using a mean of 4.6 days and SD of 5.55 days ( Ofori et al , 2022 ;You et al , 2020 ). We report the mean and 95% credible interval (CrL).…”