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

Christopher H. Seto; Corina Graif; Aria Khademi; Vasant G. Honavar; Claire E. Kelling

doi:10.1016/j.healthplace.2022.102891

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

Christopher H. Seto, Corina Graif, Aria Khademi, Vasant G. Honavar, Claire E. Kelling

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

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.

Original language	English (US)
Article number	102891
Journal	Health and Place
Volume	77
DOIs	https://doi.org/10.1016/j.healthplace.2022.102891
State	Published - Sep 2022

All Science Journal Classification (ASJC) codes

Health(social science)
Sociology and Political Science
Life-span and Life-course Studies

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title = "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.",

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AU - Seto, Christopher H.

AU - Graif, Corina

AU - Khademi, Aria

AU - Honavar, Vasant G.

AU - Kelling, Claire E.

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AB - 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.

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

Abstract

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