TY - JOUR
T1 - A distributed geospatial approach to describe community characteristics for multisite studies
AU - The CREW Consortium
AU - Ryan, Patrick H.
AU - Brokamp, Cole
AU - Blossom, Jeff
AU - Lothrop, Nathan
AU - Miller, Rachel L.
AU - Beamer, Paloma I.
AU - Visness, Cynthia M.
AU - Zanobetti, Antonella
AU - Andrews, Howard
AU - Bacharier, Leonard B.
AU - Hartert, Tina V.
AU - Johnson, Christine C.
AU - Ownby, Dennis
AU - Lemanske, Robert F.
AU - Gibson, Heike
AU - Requia, Weeberb
AU - Coull, Brent
AU - Zoratti, Edward M.
AU - Wright, Anne L.
AU - Martinez, Fernando D.
AU - Seroogy, Christine M.
AU - Gern, James E.
AU - Gold, Diane R.
AU - Herbstman, Julie
AU - Hoepner, Lori
AU - Perera, Frederica
AU - Perzanowski, Matthew
AU - Liu, Xinhua
AU - Ramirez, Judyth
AU - Rivera, Janelle
AU - Tang, Deliang
AU - Riley, Kylie
AU - Jezioro, Jacqueline
AU - Sitarik, A.
AU - Havstad, S.
AU - Woodcroft, K.
AU - Levin, A.
AU - Wegienka, G.
AU - Davidson, B.
AU - Finazzo, S.
AU - Bobbitt, K.
AU - Mann, E.
AU - Bellemore, S.
AU - Zhang, S.
AU - Wahlman, A.
AU - Jones, K.
AU - Lukacs, N.
AU - Lynch, Susan
AU - Boushey, H.
AU - Morgan, Wayne
N1 - Publisher Copyright:
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
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U2 - 10.1017/cts.2021.7
DO - 10.1017/cts.2021.7
M3 - Article
AN - SCOPUS:85105544035
SN - 2059-8661
VL - 5
JO - Journal of Clinical and Translational Science
JF - Journal of Clinical and Translational Science
IS - 1
M1 - e86
ER -