A Distributed Geospatial Approach to Describe Community Characteristics for Multisite Studies
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2021/02/05
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Details
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Personal Author:Andrews H ; Bacharier LB ; Beamer PI ; Blossom J ; Brokamp C ; Coull B ; Gern JE ; Gibson H ; Gold DR ; Hartert T ; Johnson CC ; Lemanske RF ; Lothrop N ; Martinez FD ; Miller RL ; Ownby D ; Requia W ; Ryan PH ; Seroogy CM ; Visness CM ; Wright AL ; Zanobetti A ; Zoratti EM
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Description: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. [Description provided by NIOSH]
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ISSN:2059-8661
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Place as Subject:Arizona ; Georgia ; Massachusetts ; Michigan ; Minnesota ; Missouri ; New York ; North Carolina ; Ohio ; OSHA Region 1 ; OSHA Region 2 ; OSHA Region 4 ; OSHA Region 5 ; OSHA Region 7 ; OSHA Region 9 ; Tennessee ; Wisconsin
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Volume:5
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Issue:1
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NIOSHTIC Number:nn:20070789
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Citation:J Clin Transl Sci 2021 Feb; 5(1):e86
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Contact Point Address:P. Ryan, PhD, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45140, USA
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Email:patrick.ryan@cchmc.org
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Federal Fiscal Year:2021
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Performing Organization:University of Minnesota
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Peer Reviewed:True
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Start Date:20110930
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Source Full Name:Journal of Clinical and Translational Science
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End Date:20270929
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Main Document Checksum:urn:sha-512:eb89d6653e656e170b8e3e5bae99fd15f6ac8c3797bda72fab4723159fc6d2fae4de6fb361d7eba647fe87cadf733c0aad8b6ec9a3b8bdc9cd29717b164cba7b
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