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

ABSTRACT:

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. counties from the Johns Hopkins University and social determinants of health (SDoH) data from the County Health Ranking and the Bureau of Labor Statistics were fitted to Bayesian semi-parametric spatiotemporal Negative Binomial models, and 95% credible intervals (CrI) of incidence rate ratios (IRR) were used to assess the associations. Exceedance probabilities were used for detecting clusters.

Results

As of October 31, 2020, the median mortality rate was 40.05 per 100, 000. The monthly urban mortality rates increased with unemployment (IRR_adjusted:1.41, 95% CrI: 1.24, 1.60), percent Blac

SUBMITTER: Paul R 

PROVIDER: S-EPMC8451980 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature