A distributed geospatial approach to describe community characteristics for multisite studies

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....

Descripción completa

Detalles Bibliográficos
Autores principales: Ryan, Patrick H., Brokamp, Cole, Blossom, Jeff, Lothrop, Nathan, Miller, Rachel L., Beamer, Paloma I., Visness, Cynthia M., Zanobetti, Antonella, Andrews, Howard, Bacharier, Leonard B., Hartert, Tina, Johnson, Christine C., Ownby, Dennis, Lemanske, Robert F., Gibson, Heike, Requia, Weeberb, Coull, Brent, Zoratti, Edward M., Wright, Anne L., Martinez, Fernando D., Seroogy, Christine M., Gern, James E., Gold, Diane R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Brief Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8111696/
https://www.ncbi.nlm.nih.gov/pubmed/34007469
http://dx.doi.org/10.1017/cts.2021.7
Descripción
Sumario: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.

Ejemplares similares