A Distributed Geospatial Approach to Describe Community Characteristics for Multisite Studies

Overview

Journal J Clin Transl Sci

Publisher Cambridge University Press

Date 2021 May 19

PMID 34007469

Citations 3

Authors

Patrick H Ryan

Cole Brokamp

Jeff Blossom

Nathan Lothrop

Rachel L Miller

Paloma I Beamer

Cynthia M Visness

Antonella Zanobetti

Howard Andrews

Leonard B Bacharier

Tina Hartert

Christine C Johnson

Dennis Ownby

Robert F Lemanske

Heike Gibson

Weeberb Requia

Brent Coull

Edward M Zoratti

Anne L Wright

Fernando D Martinez

Christine M Seroogy

James E Gern

Diane R Gold

Affiliations

Soon will be listed here.

Abstract

Understanding place-based contributors to health requires geographically and culturally diverse study populations, but sharing location data is a significant challenge to multisite studies. Here, we describe a standardized and reproducible method to perform geospatial analyses for multisite studies. Using census tract-level information, we created software for geocoding and geospatial data linkage that was distributed to a consortium of birth cohorts located throughout the USA. Individual sites performed geospatial linkages and returned tract-level information for 8810 children to a central site for analyses. Our generalizable approach demonstrates the feasibility of geospatial analyses across study sites to promote collaborative translational research.

Citing Articles

Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions.

Li C, Mowery D, Ma X, Yang R, Vurgun U, Hwang S J Clin Transl Sci. 2024; 8(1):e147.

PMID: 39478779 PMC: 11523026. DOI: 10.1017/cts.2024.571.

The Legacy of Redlining: Increasing Childhood Asthma Disparities through Neighborhood Poverty.

Ryan P, Zanobetti A, Coull B, Andrews H, Bacharier L, Bailey D Am J Respir Crit Care Med. 2024; 210(10):1201-1209.

PMID: 38869320 PMC: 11568444. DOI: 10.1164/rccm.202309-1702OC.

High Resolution and Spatiotemporal Place-Based Computable Exposures at Scale.

Rasnick E, Ryan P, Blossom J, Luttmann-Gibson H, Lothrop N, Habre R AMIA Jt Summits Transl Sci Proc. 2023; 2023:62-70.

PMID: 37350915 PMC: 10283107.

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