County-Level Sociodemographic Factors Associated with COVID-19 Incidence and Mortality in North and South Carolina.

There is limited research regarding associations between county-level factors and COVID-19 incidence and mortality. While the Carolinas are geographically connected, they are not homogeneous, with statewide political and intra-state socioeconomic differences leading to heterogeneous spread between and within states. Infection and mortality data from Johns Hopkins University during the 7 months since the first reported case in the Carolinas was combined with county-level socioeconomic/demographic factors.

Dynamics of Covid-19 mortality and social determinants of health: a spatiotemporal analysis of exceedance probabilities.

Purpose: To determine the association of social factors with Covid-19 mortality and identify high-risk clusters.

Methods: Data on Covid-19 deaths across 3,108 contiguous U.S.

The Association of Social Determinants of Health With COVID-19 Mortality in Rural and Urban Counties.

Purpose: To identify the county-level effects of social determinants of health (SDoH) on COVID-19 (corona virus disease 2019) mortality rates by rural-urban residence and estimate county-level exceedance probabilities for detecting clusters.

Methods: The county-level data on COVID-19 death counts as of October 23, 2020, were obtained from the Johns Hopkins University. SDoH data were collected from the County Health Ranking and Roadmaps, the US Department of Agriculture, and the Bureau of Labor Statistics.