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HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region

The Houston–Galveston–Brazoria (HGB) region faces numerous environmental and public health challenges from both natural disasters and industrial activity, but the historically disadvantaged communities most often impacted by such risks have limited ability to access and utilize big data for advocacy...

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Detalles Bibliográficos
Autores principales: Bhandari, Sharmila, Lewis, P. Grace Tee, Craft, Elena, Marvel, Skylar W., Reif, David M., Chiu, Weihsueh A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068489/
https://www.ncbi.nlm.nih.gov/pubmed/32053902
http://dx.doi.org/10.3390/ijerph17041130
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author Bhandari, Sharmila
Lewis, P. Grace Tee
Craft, Elena
Marvel, Skylar W.
Reif, David M.
Chiu, Weihsueh A.
author_facet Bhandari, Sharmila
Lewis, P. Grace Tee
Craft, Elena
Marvel, Skylar W.
Reif, David M.
Chiu, Weihsueh A.
author_sort Bhandari, Sharmila
collection PubMed
description The Houston–Galveston–Brazoria (HGB) region faces numerous environmental and public health challenges from both natural disasters and industrial activity, but the historically disadvantaged communities most often impacted by such risks have limited ability to access and utilize big data for advocacy efforts. We developed HGBEnviroScreen to identify and prioritize regions of heightened vulnerability, in part to assist communities in understanding risk factors and developing environmental justice action plans. While similar in objectives to existing environmental justice tools, HGBEnviroScreen is unique in its ability to integrate and visualize national and local data to address regional concerns. For the 1090 census tracts in the HGB region, we accrued data into five domains: (i) social vulnerability, (ii) baseline health, (iii) environmental exposures and risks, (iv) environmental sources, and (v) flooding. We then integrated and visualized these data using the Toxicological Prioritization Index (ToxPi). We found that the highest vulnerability census tracts have multifactorial risk factors, with common drivers being flooding, social vulnerability, and proximity to environmental sources. Thus, HGBEnviroScreen is not only helping identify communities of greatest overall vulnerability but is also providing insights into which domains would most benefit from improved planning, policy, and action in order to reduce future vulnerability.
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spelling pubmed-70684892020-03-19 HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region Bhandari, Sharmila Lewis, P. Grace Tee Craft, Elena Marvel, Skylar W. Reif, David M. Chiu, Weihsueh A. Int J Environ Res Public Health Article The Houston–Galveston–Brazoria (HGB) region faces numerous environmental and public health challenges from both natural disasters and industrial activity, but the historically disadvantaged communities most often impacted by such risks have limited ability to access and utilize big data for advocacy efforts. We developed HGBEnviroScreen to identify and prioritize regions of heightened vulnerability, in part to assist communities in understanding risk factors and developing environmental justice action plans. While similar in objectives to existing environmental justice tools, HGBEnviroScreen is unique in its ability to integrate and visualize national and local data to address regional concerns. For the 1090 census tracts in the HGB region, we accrued data into five domains: (i) social vulnerability, (ii) baseline health, (iii) environmental exposures and risks, (iv) environmental sources, and (v) flooding. We then integrated and visualized these data using the Toxicological Prioritization Index (ToxPi). We found that the highest vulnerability census tracts have multifactorial risk factors, with common drivers being flooding, social vulnerability, and proximity to environmental sources. Thus, HGBEnviroScreen is not only helping identify communities of greatest overall vulnerability but is also providing insights into which domains would most benefit from improved planning, policy, and action in order to reduce future vulnerability. MDPI 2020-02-11 2020-02 /pmc/articles/PMC7068489/ /pubmed/32053902 http://dx.doi.org/10.3390/ijerph17041130 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bhandari, Sharmila
Lewis, P. Grace Tee
Craft, Elena
Marvel, Skylar W.
Reif, David M.
Chiu, Weihsueh A.
HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
title HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
title_full HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
title_fullStr HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
title_full_unstemmed HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
title_short HGBEnviroScreen: Enabling Community Action through Data Integration in the Houston–Galveston–Brazoria Region
title_sort hgbenviroscreen: enabling community action through data integration in the houston–galveston–brazoria region
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068489/
https://www.ncbi.nlm.nih.gov/pubmed/32053902
http://dx.doi.org/10.3390/ijerph17041130
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