Effect of PM2.5 pollution on perinatal mortality in China

Abstract Using ArcGIS to analyze satellite derived PM2.5 estimates, this paper obtains the average concentration and maximum concentration of fine particulate matter (PM2.5) in China's 31 provinces from 2002 to 2015. We adopt fixed effects model and spatial Durbin model to investigate the assoc...

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Autores principales: Guangqin Li, Lingyu Li, Dan Liu, Jiahong Qin, Hongjun Zhu
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/d69918fcf7e14c66a1e4e2d31e8ee0ff
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spelling oai:doaj.org-article:d69918fcf7e14c66a1e4e2d31e8ee0ff2021-12-02T14:17:27ZEffect of PM2.5 pollution on perinatal mortality in China10.1038/s41598-021-87218-72045-2322https://doaj.org/article/d69918fcf7e14c66a1e4e2d31e8ee0ff2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87218-7https://doaj.org/toc/2045-2322Abstract Using ArcGIS to analyze satellite derived PM2.5 estimates, this paper obtains the average concentration and maximum concentration of fine particulate matter (PM2.5) in China's 31 provinces from 2002 to 2015. We adopt fixed effects model and spatial Durbin model to investigate the association between PM2.5 and perinatal mortality rates. The results indicate that PM2.5 has a significantly positive association with perinatal mortality rates. A 1% increase of log-transformed average concentration and maximum concentrations of PM2.5 is associated with 1.76‰ and 2.31‰ increase of perinatal mortality rates, respectively. In spatial econometrics analysis, we find PM2.5 has significant spatial autocorrelation characteristics. The concentrations of log-transformed average and maximum PM2.5 increase 1% is associated with a 2.49% increase in a 2.49‰ and 2.19‰ increase of perinatal mortality rates, respectively. The potential mechanism is that air pollution has an impact on infant weight to impact perinatal mortality rates.Guangqin LiLingyu LiDan LiuJiahong QinHongjun ZhuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Guangqin Li
Lingyu Li
Dan Liu
Jiahong Qin
Hongjun Zhu
Effect of PM2.5 pollution on perinatal mortality in China
description Abstract Using ArcGIS to analyze satellite derived PM2.5 estimates, this paper obtains the average concentration and maximum concentration of fine particulate matter (PM2.5) in China's 31 provinces from 2002 to 2015. We adopt fixed effects model and spatial Durbin model to investigate the association between PM2.5 and perinatal mortality rates. The results indicate that PM2.5 has a significantly positive association with perinatal mortality rates. A 1% increase of log-transformed average concentration and maximum concentrations of PM2.5 is associated with 1.76‰ and 2.31‰ increase of perinatal mortality rates, respectively. In spatial econometrics analysis, we find PM2.5 has significant spatial autocorrelation characteristics. The concentrations of log-transformed average and maximum PM2.5 increase 1% is associated with a 2.49% increase in a 2.49‰ and 2.19‰ increase of perinatal mortality rates, respectively. The potential mechanism is that air pollution has an impact on infant weight to impact perinatal mortality rates.
format article
author Guangqin Li
Lingyu Li
Dan Liu
Jiahong Qin
Hongjun Zhu
author_facet Guangqin Li
Lingyu Li
Dan Liu
Jiahong Qin
Hongjun Zhu
author_sort Guangqin Li
title Effect of PM2.5 pollution on perinatal mortality in China
title_short Effect of PM2.5 pollution on perinatal mortality in China
title_full Effect of PM2.5 pollution on perinatal mortality in China
title_fullStr Effect of PM2.5 pollution on perinatal mortality in China
title_full_unstemmed Effect of PM2.5 pollution on perinatal mortality in China
title_sort effect of pm2.5 pollution on perinatal mortality in china
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/d69918fcf7e14c66a1e4e2d31e8ee0ff
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AT jiahongqin effectofpm25pollutiononperinatalmortalityinchina
AT hongjunzhu effectofpm25pollutiononperinatalmortalityinchina
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