Ontology highlight
ABSTRACT:
SUBMITTER: Seto CH
PROVIDER: S-EPMC9365871 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature
Health & place 20220811
Biweekly county COVID-19 data were linked with Longitudinal Employer-Household Dynamics data to analyze population risk exposures enabled by pre-pandemic, country-wide commuter networks. Results from fixed-effects, spatial, and computational statistical approaches showed that commuting network exposure to COVID-19 predicted an area's COVID-19 cases and deaths, indicating spillovers. Commuting spillovers between counties were independent from geographic contiguity, pandemic-time mobility, or soci ...[more]