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 - Brunwasser, Steven M.
N1 - Funding Information:
CREW is funded by HHS/NIH grant 5UG3OD023282. Additional support was provided by individual cohorts' grants/contracts: Columbia University: P01 ES09600, R01 ES008977, P30 ES09089, R01 ES013163, R827027. Tucson Children's Respiratory Study (TCRS): R01HL132523, R01HL56177, K25HL103970. Infant Immune Study (IIS): R01AI42268, K25HL103970. Childhood Origins of Asthma Study (COAST): P01 HL070831, U10 HL064305, R01 HL061879. Urban Environment and Childhood Asthma Study (URECA): NO1-AI-25496, NO1-AI-25482, HHSN272200900052C, HHSN272201000052I, NCRR/NIH RR00052, M01RR00533, 1UL1RR025771, M01RR00071, 1UL1RR024156, UL1TR001079, 5UL1RR024992-02, NCATS/NIH UL1TR000040. Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS): R01 ES11170, R01 ES019890. The Epidemiology of Home Allergens and Asthma Study (EHAAS): R01 AI035786. Wayne County Health, Environment, Allergy and Asthma Longitudinal Study (WHEALS): R01 AI050681, R56 AI050681, R01 AI061774, R21 AI059415, K01 AI070606, R21 AI069271, R01 HL113010, R21 ES022321, P01 AI089473, R21 AI080066, R01 AI110450, R01 HD082147 and the Fund for Henry Ford Health System. Childhood Allergy Study (CAS): R01 AI024156, R03 HL067427, R01 AI051598, Blue Cross Foundation Johnson, and the Fund for Henry Ford Hospital. Microbes, Allergy, Asthma and Pets (MAAP): P01 AI089473 and Fund for Henry Ford Hospital. Infant Susceptibility to Pulmonary Infections and Asthma following RSV Exposure (INSPIRE): NIH/NIAID U19 AI 095227, NIH/NCATS UL1 TR 002243, NIH/NIAID K24 AI 077930, NIH/NHLBI R21 HD 087864, NIH/NHLBI X01 HL 134583. Wisconsin Infant Study Cohort (WISC): U19 AI104317, NCATS UL1TR000427, the charitable donors to the Marshfield Clinic Health System Foundation, and the Upper Midwest Agricultural Safety and Health Center (UMASH) U54 OH010170.
Funding Information:
CREW is funded by HHS/NIH grant 5UG3OD023282. Additional support was provided by individual cohorts’ grants/contracts: Columbia University: P01 ES09600, R01 ES008977, P30 ES09089, R01 ES013163, R827027.
Funding Information:
Childhood Allergy Study (CAS): R01 AI024156, R03 HL067427, R01 AI051598, Blue Cross Foundation Johnson, and the Fund for Henry Ford Hospital.
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 -