Literature DB >> 28258857

Non-linear increase of respiratory diseases and their costs under severe air pollution.

Ying Shen1, Yiyun Wu2, Guangdi Chen3, Hans J M Van Grinsven4, Xiaofeng Wang5, Baojing Gu6, Xiaoming Lou7.   

Abstract

China is experiencing severe and persistent air pollution, with concentrations of fine particulate matters (PM2.5) reaching unprecedentedly high levels in many cities. Quantifying the detrimental effects on health and their costs derived from high PM2.5 levels is crucial because of the unsolved challenges to mitigate air pollution in the following decades. Using the daily monitoring data on PM2.5 concentrations and clinic visits, we found a non-linear increase of respiratory diseases, but not for other diseases (e.g., digestive diseases) under severe air pollution. We found an increase of respiratory diseases by 1% for each 10 μg m-3 increase in PM2.5 when the annual average daily PM2.5 concentration was less than 50 μg m-3; while this ratio was doubled (around 2%) with the daily PM2.5 concentration larger than 50 μg m-3. Under severe air pollution (PM2.5 concentration >150 μg m-3), the respiratory diseases increased by over 50% compared to that in clean days. Children are more sensitive to the severe air pollution. The increase of clinic visits, especially for adults, was observed mainly in bigger (>500 beds) hospitals. Re-allocating medical resources (e.g., doctors) from big hospitals to community hospitals can benefit the respiratory patients due to air pollution. The total medical cost of clinic visits of respiratory diseases derived from PM2.5 pollution was estimated at 17.2-57.0 billion Yuan in 2014 in China, accounting for 0.5-1.6% of national total health expenditure. Because these medical costs only represent a small part of total health cost derived from air pollution, the reduction of associated health costs would be an important co-benefit of implementation of air pollution preventive strategies.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Age structure; China; Clinic visit; Health cost; Medical resource; PM(2.5)

Mesh:

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Year:  2017        PMID: 28258857     DOI: 10.1016/j.envpol.2017.02.047

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  7 in total

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4.  Ambient Air Pollution and Daily Hospital Admissions for Respiratory Disease in Children in Guiyang, China.

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Journal:  Front Pediatr       Date:  2019-10-04       Impact factor: 3.418

5.  Assessing short-term impact of PM10 on mortality using a semiparametric generalized propensity score approach.

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Journal:  Environ Health       Date:  2020-05-01       Impact factor: 5.984

6.  The superposition effects of air pollution on government health expenditure in China- spatial evidence from GeoDetector.

Authors:  Qi Xia; Xiyu Zhang; Yanmin Hu; Wenqing Miao; Wanxin Tian; Bing Wu; Yongqiang Lai; Jia Meng; Zhixin Fan; Chenxi Zhang; Ling Xin; Jingying Miao; Qunhong Wu; Mingli Jiao; Linghan Shan; Nianshi Wang; Baoguo Shi; Ye Li
Journal:  BMC Public Health       Date:  2022-07-25       Impact factor: 4.135

7.  Time series modeling of pneumonia admissions and its association with air pollution and climate variables in Chiang Mai Province, Thailand.

Authors:  Apaporn Ruchiraset; Kraichat Tantrakarnapa
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-26       Impact factor: 4.223

  7 in total

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