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Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States
Air quality is known to be a key factor in affecting the wellbeing and quality of life of the general populous and there is a large body of knowledge indicating that certain underrepresented groups may be overexposed to air pollution. Therefore, a more precise understanding of air pollution exposure...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3960143/ https://www.ncbi.nlm.nih.gov/pubmed/24647354 http://dx.doi.org/10.1371/journal.pone.0091917 |
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author | Zou, Bin Peng, Fen Wan, Neng Mamady, Keita Wilson, Gaines J. |
author_facet | Zou, Bin Peng, Fen Wan, Neng Mamady, Keita Wilson, Gaines J. |
author_sort | Zou, Bin |
collection | PubMed |
description | Air quality is known to be a key factor in affecting the wellbeing and quality of life of the general populous and there is a large body of knowledge indicating that certain underrepresented groups may be overexposed to air pollution. Therefore, a more precise understanding of air pollution exposure as a driving cause of health disparities between and among ethnic and racial groups is necessary. Utilizing 52,613 urban census tracts across the United States, this study investigates age, racial, educational attainment and income differences in exposure to benzene pollution in 1999 as a case. The study examines spatial clustering patterns of these inequities using logistic regression modeling and spatial autocorrelation methods such as the Global Moran's I index and the Anselin Local Moran's I index. Results show that the age groups of 0 to 14 and those over 60 years old, individuals with less than 12 years of education, racial minorities including Blacks, American Indians, Asians, some other races, and those with low income were exposed to higher levels of benzene pollution in some census tracts. Clustering analyses stratified by age, education, and race revealed a clear case of disparities in spatial distribution of exposure to benzene pollution across the entire United States. For example, people aged less than 4 years from the western south and the Pacific coastal areas exhibit statistically significant clusters. The findings confirmed that there are geographical-location based disproportionate pattern of exposures to benzene air pollution by various socio-demographic factors across the United States and this type of disproportionate exposure pattern can be effectively detected by a spatial autocorrelation based cluster analysis method. It is suggested that there is a clear and present need for programs and services that will reduce inequities and ultimately improve environmental conditions for all underrepresented groups in the United States. |
format | Online Article Text |
id | pubmed-3960143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39601432014-03-27 Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States Zou, Bin Peng, Fen Wan, Neng Mamady, Keita Wilson, Gaines J. PLoS One Research Article Air quality is known to be a key factor in affecting the wellbeing and quality of life of the general populous and there is a large body of knowledge indicating that certain underrepresented groups may be overexposed to air pollution. Therefore, a more precise understanding of air pollution exposure as a driving cause of health disparities between and among ethnic and racial groups is necessary. Utilizing 52,613 urban census tracts across the United States, this study investigates age, racial, educational attainment and income differences in exposure to benzene pollution in 1999 as a case. The study examines spatial clustering patterns of these inequities using logistic regression modeling and spatial autocorrelation methods such as the Global Moran's I index and the Anselin Local Moran's I index. Results show that the age groups of 0 to 14 and those over 60 years old, individuals with less than 12 years of education, racial minorities including Blacks, American Indians, Asians, some other races, and those with low income were exposed to higher levels of benzene pollution in some census tracts. Clustering analyses stratified by age, education, and race revealed a clear case of disparities in spatial distribution of exposure to benzene pollution across the entire United States. For example, people aged less than 4 years from the western south and the Pacific coastal areas exhibit statistically significant clusters. The findings confirmed that there are geographical-location based disproportionate pattern of exposures to benzene air pollution by various socio-demographic factors across the United States and this type of disproportionate exposure pattern can be effectively detected by a spatial autocorrelation based cluster analysis method. It is suggested that there is a clear and present need for programs and services that will reduce inequities and ultimately improve environmental conditions for all underrepresented groups in the United States. Public Library of Science 2014-03-19 /pmc/articles/PMC3960143/ /pubmed/24647354 http://dx.doi.org/10.1371/journal.pone.0091917 Text en © 2014 Zou et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Zou, Bin Peng, Fen Wan, Neng Mamady, Keita Wilson, Gaines J. Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States |
title | Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States |
title_full | Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States |
title_fullStr | Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States |
title_full_unstemmed | Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States |
title_short | Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States |
title_sort | spatial cluster detection of air pollution exposure inequities across the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3960143/ https://www.ncbi.nlm.nih.gov/pubmed/24647354 http://dx.doi.org/10.1371/journal.pone.0091917 |
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