Ontology highlight
ABSTRACT: Objective
We examined the association between stay-at-home order implementation and the incidence of COVID-19 infections and deaths in rural versus urban counties of the United States.Design
We used an interrupted time-series analysis using a mixed effects zero-inflated Poisson model with random intercept by county and standardised by population to examine the associations between stay-at-home orders and county-level counts of daily new COVID-19 cases and deaths in rural versus urban counties between 22 January 2020 and 10 June 2020. We secondarily examined the association between stay-at-home orders and mobility in rural versus urban counties using Google Community Mobility Reports.Interventions
Issuance of stay-at-home orders.Primary and secondary outcome meas
SUBMITTER: Jiang DH
PROVIDER: S-EPMC8990263 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature