A distributed geospatial approach to describe community characteristics for multisite studies

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. MartinezChristine M. Seroogy, James E. Gern, Diane R. Gold

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article numbere86
JournalJournal of Clinical and Translational Science
DOIs
StateAccepted/In press - 2021

Keywords

  • determinants of health
  • Geospatial analysis
  • GIS
  • multisite studies
  • participant confidentiality

ASJC Scopus subject areas

  • Medicine(all)

Fingerprint Dive into the research topics of 'A distributed geospatial approach to describe community characteristics for multisite studies'. Together they form a unique fingerprint.

Cite this