The Association between Air Pollution and Outpatient and Inpatient Visits in Shenzhen, China
Yachuan Liu,
Shanen Chen,
Jian Xu,
Xiaojian Liu,
Yongsheng Wu,
Lin Zhou,
Jinquan Cheng,
Hanwu Ma,
Jing Zheng,
Denan Lin,
Li Zhang and
Lili Chen
Additional contact information
Yachuan Liu: Department of Statistics, University of California, Berkeley, CA 94720, USA
Shanen Chen: Department of Industrial Engineering and Management, Peking University, Beijing 100871, China
Jian Xu: IBM Research China, Beijing 100193, China
Xiaojian Liu: Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, China
Yongsheng Wu: Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, China
Lin Zhou: Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, China
Jinquan Cheng: Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, China
Hanwu Ma: Shenzhen Center for Disease Control and Prevention, Shenzhen 518073, China
Jing Zheng: Medical Information Center of Shenzhen Municipality, Shenzhen 518055, China
Denan Lin: Medical Information Center of Shenzhen Municipality, Shenzhen 518055, China
Li Zhang: IBM Research China, Beijing 100193, China
Lili Chen: IBM Research China, Beijing 100193, China
IJERPH, 2018, vol. 15, issue 2, 1-10
Abstract:
Nowadays, air pollution is a severe environmental problem in China. To investigate the effects of ambient air pollution on health, a time series analysis of daily outpatient and inpatient visits in 2015 were conducted in Shenzhen (China). Generalized additive model was employed to analyze associations between six air pollutants (namely SO 2 , CO, NO 2 , O 3 , PM 10 , and PM 2.5 ) and daily outpatient and inpatient visits after adjusting confounding meteorological factors, time and day of the week effects. Significant associations between air pollutants and two types of hospital visits were observed. The estimated increase in overall outpatient visits associated with each 10 µg/m 3 increase in air pollutant concentration ranged from 0.48% (O 3 at lag 2) to 11.48% (SO 2 with 2-day moving average); for overall inpatient visits ranged from 0.73% (O 3 at lag 7) to 17.13% (SO 2 with 8-day moving average). Our results also suggested a heterogeneity of the health effects across different outcomes and in different populations. The findings in present study indicate that even in Shenzhen, a less polluted area in China, significant associations exist between air pollution and daily number of overall outpatient and inpatient visits.
Keywords: air pollution; health effects; time series analysis; generalized additive model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)
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