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Spatial and neighborhood data in the collaborative cohort of cohorts for COVID-19 Research (C4R)
Journal article   Open access   Peer reviewed

Spatial and neighborhood data in the collaborative cohort of cohorts for COVID-19 Research (C4R)

Jana A Hirsch, Lilah M Besser, Marcia Pescador Jimenez, Stephen T Dickinson, Talea Cornelius, Stephen T Francisco, Katherine Lawin, Hoda S Abdel Magid, Sandra S Albrecht, Norrina Bai Allen, …
PloS one, v 21(7), e0352170
01 Jul 2026
PMID: 42485397
url
https://doi.org/10.1371/journal.pone.0352170View
Published, Version of Record (VoR) Open

Abstract

Betacoronavirus Cohort Studies Coronavirus Infections - epidemiology COVID-19 - epidemiology Humans Neighborhood Characteristics Pandemics Pneumonia, Viral - epidemiology Residence Characteristics - statistics & numerical data SARS-CoV-2 United States - epidemiology
Neighborhood factors, encompassing social, built, and natural environments, may explain geographic differences in the impact of COVID-19 pandemic on populations. Data from pre-existing national, population-based cohorts could be leveraged to better understand how pre-existing conditions (both individual and neighborhood) contribute to risk factor development and disease progression. We catalogued spatial and neighborhood data in the Collaborative Cohort of Cohorts for COVID-19 Research (C4R), comprising 14 diverse US cohorts (>50,000 participants). The C4R sample is generally spatially and socially representative of the overall nation, with C4R's calculated spatial coverage representing 28% of US land area and 52% of the total US population. However, C4R (vs. non C4R) areas were more urban, wealthy, with more foreign-born residents, and less car-dependent with lower proportion employed and green. Twelve cohorts collected neighborhood characteristics - most commonly social environment data on neighborhood socioeconomic status- based on participants' addresses. The most common built environment measures were related to food access, followed by other destination-based measures such as walkability. Natural environment data were available in the fewest cohorts, with emphasis on air quality or greenspace. This work provides clarity on available neighborhood and spatial data and facilitates future harmonization of data from C4R cohorts. Ultimately, this may enable future longitudinal and comparative analyses of neighborhood influences on COVID-19.

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