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The Impact of Ambient Air Pollution on Daily Hospital Visits for Various Respiratory Diseases and the Relevant Medical Expenditures in Shanghai, China

Author

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  • Hao Zhang

    (Department of Public Administration, School of Economics and Management, Tongji University, Tongji Building A, 1500 Siping Road, Shanghai 200092, China)

  • Yue Niu

    (Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai 200032, China)

  • Yili Yao

    (Department of Public Administration, School of Economics and Management, Tongji University, Tongji Building A, 1500 Siping Road, Shanghai 200092, China)

  • Renjie Chen

    (Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai 200032, China
    Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China)

  • Xianghong Zhou

    (Department of Public Administration, School of Economics and Management, Tongji University, Tongji Building A, 1500 Siping Road, Shanghai 200092, China)

  • Haidong Kan

    (Department of Environmental Health, School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, P.O. Box 249, 130 Dong-An Road, Shanghai 200032, China)

Abstract

The evidence concerning the acute effects of ambient air pollution on various respiratory diseases was limited in China, and the attributable medical expenditures were largely unknown. From 2013 to 2015, we collected data on the daily visits to the emergency- and outpatient-department for five main respiratory diseases and their medical expenditures in Shanghai, China. We used the overdispersed generalized additive model together with distributed lag models to fit the associations of criteria air pollutants with hospital visits, and used the linear models to fit the associations with medical expenditures. Generally, we observed significant increments in emergency visits (8.81–17.26%) and corresponding expenditures (0.33–25.81%) for pediatric respiratory diseases, upper respiratory infection (URI), and chronic obstructive pulmonary disease (COPD) for an interquartile range increase of air pollutant concentrations over four lag days. As a comparison, there were significant but smaller increments in outpatient visits (1.36–4.52%) and expenditures (1.38–3.18%) for pediatric respiratory diseases and upper respiratory infection (URI). No meaningful changes were observed for asthma and lower respiratory infection. Our study suggested that short-term exposure to outdoor air pollution may induce the occurrences or exacerbation of pediatric respiratory diseases, URI, and COPD, leading to considerable medical expenditures upon the patients.

Suggested Citation

  • Hao Zhang & Yue Niu & Yili Yao & Renjie Chen & Xianghong Zhou & Haidong Kan, 2018. "The Impact of Ambient Air Pollution on Daily Hospital Visits for Various Respiratory Diseases and the Relevant Medical Expenditures in Shanghai, China," IJERPH, MDPI, vol. 15(3), pages 1-10, February.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:425-:d:134014
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    References listed on IDEAS

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    1. Gasparrini, Antonio, 2011. "Distributed Lag Linear and Non-Linear Models in R: The Package dlnm," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 43(i08).
    2. Roger D. Peng & Francesca Dominici & Thomas A. Louis, 2006. "Model choice in time series studies of air pollution and mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 179-203, March.
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    2. Daitao Zhang & Yaohua Tian & Yi Zhang & Yaying Cao & Quanyi Wang & Yonghua Hu, 2019. "Fine Particulate Air Pollution and Hospital Utilization for Upper Respiratory Tract Infections in Beijing, China," IJERPH, MDPI, vol. 16(4), pages 1-9, February.
    3. Xiaocang Xu & Zhiming Xu & Linhong Chen & Chang Li, 2019. "How Does Industrial Waste Gas Emission Affect Health Care Expenditure in Different Regions of China: An Application of Bayesian Quantile Regression," IJERPH, MDPI, vol. 16(15), pages 1-12, August.
    4. Xinpeng Xing & Jianhua Wang & Tiansen Liu & He Liu & Yue Zhu, 2019. "How Energy Consumption and Pollutant Emissions Affect the Disparity of Public Health in Countries with High Fossil Energy Consumption," IJERPH, MDPI, vol. 16(23), pages 1-18, November.
    5. Linhong Chen & Yue Zhuo & Zhiming Xu & Xiaocang Xu & Xin Gao, 2019. "Is Carbon Dioxide (CO 2 ) Emission an Important Factor Affecting Healthcare Expenditure? Evidence from China, 2005–2016," IJERPH, MDPI, vol. 16(20), pages 1-14, October.

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