Connected in health: Place-to-place commuting networks and COVID-19 spillovers
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 expos...
Gespeichert in:
Veröffentlicht in: | Health & place 2022-09, Vol.77, p.102891-102891, Article 102891 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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.
•Place-to-place commuting enables COVID-19 spillovers, beyond geographic spillovers.•Analyses rely on fixed-effects, spatial, and computational statistical approaches.•Pre-pandemic commuting mattered despite mobility disruptions during the pandemic.•Inter-county commuting mattered beyond social media ties and local mobility.•Large-scale commuting networks represent a unique influence on health and place. |
---|---|
ISSN: | 1353-8292 1873-2054 |
DOI: | 10.1016/j.healthplace.2022.102891 |