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Spatial Distribution of PM(2.5)‐Related Premature Mortality in China

PM(2.5) is a major component of air pollution in China and has a serious threat to public health. It is very important to quantify spatial characteristics of the health effects caused by outdoor PM(2.5) exposure. This study analyzed the spatial distribution of PM(2.5) concentration (45.9 μg/m(3) nat...

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Autores principales: Zheng, Sheng, Schlink, Uwe, Ho, Kin‐Fai, Singh, Ramesh P., Pozzer, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647684/
https://www.ncbi.nlm.nih.gov/pubmed/34926970
http://dx.doi.org/10.1029/2021GH000532
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author Zheng, Sheng
Schlink, Uwe
Ho, Kin‐Fai
Singh, Ramesh P.
Pozzer, Andrea
author_facet Zheng, Sheng
Schlink, Uwe
Ho, Kin‐Fai
Singh, Ramesh P.
Pozzer, Andrea
author_sort Zheng, Sheng
collection PubMed
description PM(2.5) is a major component of air pollution in China and has a serious threat to public health. It is very important to quantify spatial characteristics of the health effects caused by outdoor PM(2.5) exposure. This study analyzed the spatial distribution of PM(2.5) concentration (45.9 μg/m(3) national average in 2016) and premature mortality attributed to PM(2.5) in cities at the prefectural level and above in China in 2016. Using the Global Exposure Mortality Model (GEMM), the total premature mortality in China was estimated to be 1.55 million persons, and the per capita mortality was 11.2 per 10,000 persons in the year 2016, resulting in higher estimates compared to the integrated exposure‐response model. We assessed the premature mortality attributed to PM(2.5) through common diseases, including ischemic heart disease (IHD), cerebrovascular disease (CEV), chronic obstructive pulmonary disease (COPD), lung cancer (LC), and lower respiratory infections (LRI). The premature mortality due to IHD and CEV accounted for 68.5% of the total mortality, and the per capita mortality (per 10,000 persons) for all ages due to IHD was 3.86, the highest among diseases. For the spatial distribution of disease‐specific premature mortality, the top two highest absolute numbers of premature mortality associated with IHD, CEV, LC, and LRI, respectively, were found in Chongqing and Beijing. In 338 cities of China, we have found a significant positive spatial autocorrelation of per capita premature mortality, indicating the necessity of coordinated regional governance for an efficient control of PM(2.5).
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spelling pubmed-86476842021-12-17 Spatial Distribution of PM(2.5)‐Related Premature Mortality in China Zheng, Sheng Schlink, Uwe Ho, Kin‐Fai Singh, Ramesh P. Pozzer, Andrea Geohealth Research Article PM(2.5) is a major component of air pollution in China and has a serious threat to public health. It is very important to quantify spatial characteristics of the health effects caused by outdoor PM(2.5) exposure. This study analyzed the spatial distribution of PM(2.5) concentration (45.9 μg/m(3) national average in 2016) and premature mortality attributed to PM(2.5) in cities at the prefectural level and above in China in 2016. Using the Global Exposure Mortality Model (GEMM), the total premature mortality in China was estimated to be 1.55 million persons, and the per capita mortality was 11.2 per 10,000 persons in the year 2016, resulting in higher estimates compared to the integrated exposure‐response model. We assessed the premature mortality attributed to PM(2.5) through common diseases, including ischemic heart disease (IHD), cerebrovascular disease (CEV), chronic obstructive pulmonary disease (COPD), lung cancer (LC), and lower respiratory infections (LRI). The premature mortality due to IHD and CEV accounted for 68.5% of the total mortality, and the per capita mortality (per 10,000 persons) for all ages due to IHD was 3.86, the highest among diseases. For the spatial distribution of disease‐specific premature mortality, the top two highest absolute numbers of premature mortality associated with IHD, CEV, LC, and LRI, respectively, were found in Chongqing and Beijing. In 338 cities of China, we have found a significant positive spatial autocorrelation of per capita premature mortality, indicating the necessity of coordinated regional governance for an efficient control of PM(2.5). John Wiley and Sons Inc. 2021-12-01 /pmc/articles/PMC8647684/ /pubmed/34926970 http://dx.doi.org/10.1029/2021GH000532 Text en © 2021 The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Article
Zheng, Sheng
Schlink, Uwe
Ho, Kin‐Fai
Singh, Ramesh P.
Pozzer, Andrea
Spatial Distribution of PM(2.5)‐Related Premature Mortality in China
title Spatial Distribution of PM(2.5)‐Related Premature Mortality in China
title_full Spatial Distribution of PM(2.5)‐Related Premature Mortality in China
title_fullStr Spatial Distribution of PM(2.5)‐Related Premature Mortality in China
title_full_unstemmed Spatial Distribution of PM(2.5)‐Related Premature Mortality in China
title_short Spatial Distribution of PM(2.5)‐Related Premature Mortality in China
title_sort spatial distribution of pm(2.5)‐related premature mortality in china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8647684/
https://www.ncbi.nlm.nih.gov/pubmed/34926970
http://dx.doi.org/10.1029/2021GH000532
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