Connected in health: Place-to-place commuting networks and COVID-19 spillovers.
COVID-19
Commuting networks
Computational statistics
Fixed-effects
Mobility data
Spatial models
Journal
Health & place
ISSN: 1873-2054
Titre abrégé: Health Place
Pays: England
ID NLM: 9510067
Informations de publication
Date de publication:
09 2022
09 2022
Historique:
received:
29
04
2022
revised:
23
07
2022
accepted:
04
08
2022
pubmed:
16
8
2022
medline:
28
9
2022
entrez:
15
8
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 35970068
pii: S1353-8292(22)00152-6
doi: 10.1016/j.healthplace.2022.102891
pmc: PMC9365871
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Pagination
102891Subventions
Organisme : NICHD NIH HHS
ID : K01 HD093863
Pays : United States
Organisme : NICHD NIH HHS
ID : P2C HD041025
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002014
Pays : United States
Informations de copyright
Copyright © 2022 Elsevier Ltd. All rights reserved.
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