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Connected in health: Place-to-place commuting networks and COVID-19 spillovers.


ABSTRACT: 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 social media ties. Results suggest that commuting connections form enduring social linkages with effects on health that can withstand mobility disruptions. Findings contribute to a growing relational view of health and place, with implications for neighborhood effects research and place-based policies.

SUBMITTER: Seto CH 

PROVIDER: S-EPMC9365871 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature

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Connected in health: Place-to-place commuting networks and COVID-19 spillovers.

Seto Christopher H CH   Graif Corina C   Khademi Aria A   Honavar Vasant G VG   Kelling Claire E CE  

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]

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