Identifying US County-level characteristics associated with high COVID-19 burden.

ABSTRACT:

Background

Identifying county-level characteristics associated with high coronavirus 2019 (COVID-19) burden can help allow for data-driven, equitable allocation of public health intervention resources and reduce burdens on health care systems.

Methods

Synthesizing data from various government and nonprofit institutions for all 3142 United States (US) counties, we studied county-level characteristics that were associated with cumulative and weekly case and death rates through 12/21/2020. We used generalized linear mixed models to model cumulative and weekly (40 repeated measures per county) cases and deaths. Cumulative and weekly models included state fixed effects and county-specific random effects. Weekly models additionally allowed covariate effects to vary by season and i

SUBMITTER: Li D 

PROVIDER: S-EPMC8162162 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature