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A distributed geospatial approach to describe community characteristics for multisite studies

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
Source :
Journal of Clinical and Translational Science, Vol 5 (2021)
Publication Year :
2021
Publisher :
Cambridge University Press, 2021.

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.

Details

Language :
English
ISSN :
20598661
Volume :
5
Database :
Directory of Open Access Journals
Journal :
Journal of Clinical and Translational Science
Publication Type :
Academic Journal
Accession number :
edsdoj.5212730ede9346a980e378b4c109f746
Document Type :
article
Full Text :
https://doi.org/10.1017/cts.2021.7