期刊
JOURNAL OF CLINICAL AND TRANSLATIONAL SCIENCE
卷 5, 期 1, 页码 -出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1017/cts.2021.7
关键词
Geospatial analysis; GIS; participant confidentiality; determinants of health; multisite studies
资金
- HHS/NIH [5UG3OD023282]
- Columbia University [P01 ES09600, R01 ES008977, P30 ES09089, R01 ES013163, R827027]
- Tucson Children's Respiratory Study (TCRS) [R01HL132523, R01HL56177, K25HL103970]
- Infant Immune Study (IIS) [K25HL103970, R01AI42268]
- Childhood Origins of Asthma Study (COAST) [P01 HL070831, U10 HL064305, R01 HL061879]
- Urban Environment and Childhood Asthma Study (URECA) [NO1-AI25496, 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]
- 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]
- Childhood Allergy Study (CAS) [R01 AI024156, R03 HL067427, R01 AI051598]
- Blue Cross Foundation Johnson
- Microbes, Allergy, Asthma and Pets (MAAP) [P01 AI089473]
- Fund for Henry Ford Hospital
- Infant Susceptibility to Pulmonary Infections and Asthma following RSV Exposure (INSPIRE): NIH/NIAID [U19 AI 095227]
- NIH/NIAID [K24 AI 077930]
- NIH/NCATS [UL1 TR 002243]
- NIH/NHLBI [R21 HD 087864, X01 HL 134583]
- Wisconsin Infant Study Cohort (WISC) [U19 AI104317]
- NCATS [UL1TR000427]
- Upper Midwest Agricultural Safety and Health Center (UMASH) [U54 OH010170]
- Fund for Henry Ford Health System
This study presents a standardized and reproducible method for conducting geospatial analyses in multisite studies. By utilizing census tract-level information and collaborative efforts among cohorts located throughout the USA, the feasibility of geospatial analyses across multiple study sites was demonstrated.
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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