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....

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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
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author 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.
author_facet 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.
author_sort Ryan, Patrick H.
collection PubMed
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.
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spelling pubmed-81116962021-05-17 A distributed geospatial approach to describe community characteristics for multisite studies 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. J Clin Transl Sci Brief Report 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. Cambridge University Press 2021-02-05 /pmc/articles/PMC8111696/ /pubmed/34007469 http://dx.doi.org/10.1017/cts.2021.7 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/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.
spellingShingle Brief Report
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.
A distributed geospatial approach to describe community characteristics for multisite studies
title A distributed geospatial approach to describe community characteristics for multisite studies
title_full A distributed geospatial approach to describe community characteristics for multisite studies
title_fullStr A distributed geospatial approach to describe community characteristics for multisite studies
title_full_unstemmed A distributed geospatial approach to describe community characteristics for multisite studies
title_short A distributed geospatial approach to describe community characteristics for multisite studies
title_sort distributed geospatial approach to describe community characteristics for multisite studies
topic Brief Report
url 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
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