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Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease

BACKGROUND: Numerous studies have found adverse health effects of acute and chronic exposure to fine particulate matter (PM(2.5)). Air pollution epidemiological studies relying on ground measurements provided by monitoring networks are often limited by sparse and unbalanced spatial distribution of t...

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Autor principal: Hu, Zhiyong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698917/
https://www.ncbi.nlm.nih.gov/pubmed/19435514
http://dx.doi.org/10.1186/1476-072X-8-27
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author Hu, Zhiyong
author_facet Hu, Zhiyong
author_sort Hu, Zhiyong
collection PubMed
description BACKGROUND: Numerous studies have found adverse health effects of acute and chronic exposure to fine particulate matter (PM(2.5)). Air pollution epidemiological studies relying on ground measurements provided by monitoring networks are often limited by sparse and unbalanced spatial distribution of the monitors. Studies have found correlations between satellite aerosol optical depth (AOD) and PM(2.5 )in some land regions. Satellite aerosol data may be used to extend the spatial coverage of PM(2.5 )exposure assessment. This study was to investigate correlation between PM(2.5 )and AOD in the conterminous USA, to derive a spatially complete PM(2.5 )surface by merging satellite AOD data and ground measurements based on the potential correlation, and to examine if there is an association of coronary heart disease with PM(2.5). RESULTS: Years 2003 and 2004 daily MODIS (Moderate Resolution Imaging Spectrometer) Level 2 AOD images were collated with US EPA PM(2.5 )data covering the conterminous USA. Pearson's correlation analysis and geographically weighted regression (GWR) found that the relationship between PM(2.5 )and AOD is not spatially consistent across the conterminous states. The average correlation is 0.67 in the east and 0.22 in the west. GWR predicts well in the east and poorly in the west. The GWR model was used to derive a PM(2.5 )grid surface using the mean AOD raster calculated using the daily AOD data (RMSE = 1.67 μg/m(3)). Fitting of a Bayesian hierarchical model linking PM(2.5 )with age-race standardized mortality rates (SMRs) of chronic coronary heart disease found that areas with higher values of PM(2.5 )also show high rates of CCHD mortality: [Image: see text] = 0.802, posterior 95% Bayesian credible interval (CI) = (0.386, 1.225). CONCLUSION: There is a spatial variation of the relationship between PM(2.5 )and AOD in the conterminous USA. In the eastern USA where AOD correlates well with PM(2.5), AOD can be merged with ground PM(2.5 )data to derive a PM(2.5 )surface for epidemiological study. The study found that chronic coronary heart disease mortality rate increases with exposure to PM(2.5).
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spelling pubmed-26989172009-06-19 Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease Hu, Zhiyong Int J Health Geogr Research BACKGROUND: Numerous studies have found adverse health effects of acute and chronic exposure to fine particulate matter (PM(2.5)). Air pollution epidemiological studies relying on ground measurements provided by monitoring networks are often limited by sparse and unbalanced spatial distribution of the monitors. Studies have found correlations between satellite aerosol optical depth (AOD) and PM(2.5 )in some land regions. Satellite aerosol data may be used to extend the spatial coverage of PM(2.5 )exposure assessment. This study was to investigate correlation between PM(2.5 )and AOD in the conterminous USA, to derive a spatially complete PM(2.5 )surface by merging satellite AOD data and ground measurements based on the potential correlation, and to examine if there is an association of coronary heart disease with PM(2.5). RESULTS: Years 2003 and 2004 daily MODIS (Moderate Resolution Imaging Spectrometer) Level 2 AOD images were collated with US EPA PM(2.5 )data covering the conterminous USA. Pearson's correlation analysis and geographically weighted regression (GWR) found that the relationship between PM(2.5 )and AOD is not spatially consistent across the conterminous states. The average correlation is 0.67 in the east and 0.22 in the west. GWR predicts well in the east and poorly in the west. The GWR model was used to derive a PM(2.5 )grid surface using the mean AOD raster calculated using the daily AOD data (RMSE = 1.67 μg/m(3)). Fitting of a Bayesian hierarchical model linking PM(2.5 )with age-race standardized mortality rates (SMRs) of chronic coronary heart disease found that areas with higher values of PM(2.5 )also show high rates of CCHD mortality: [Image: see text] = 0.802, posterior 95% Bayesian credible interval (CI) = (0.386, 1.225). CONCLUSION: There is a spatial variation of the relationship between PM(2.5 )and AOD in the conterminous USA. In the eastern USA where AOD correlates well with PM(2.5), AOD can be merged with ground PM(2.5 )data to derive a PM(2.5 )surface for epidemiological study. The study found that chronic coronary heart disease mortality rate increases with exposure to PM(2.5). BioMed Central 2009-05-12 /pmc/articles/PMC2698917/ /pubmed/19435514 http://dx.doi.org/10.1186/1476-072X-8-27 Text en Copyright © 2009 Hu; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Hu, Zhiyong
Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease
title Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease
title_full Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease
title_fullStr Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease
title_full_unstemmed Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease
title_short Spatial analysis of MODIS aerosol optical depth, PM(2.5), and chronic coronary heart disease
title_sort spatial analysis of modis aerosol optical depth, pm(2.5), and chronic coronary heart disease
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698917/
https://www.ncbi.nlm.nih.gov/pubmed/19435514
http://dx.doi.org/10.1186/1476-072X-8-27
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