The Influence of Air Pollutants and Meteorological Conditions on the Hospitalization for Respiratory Diseases in Shenzhen City, China

Shi Liang, Chong Sun, Chanfang Liu, Lili Jiang, Yingjia Xie, Shaohong Yan, Zhenyu Jiang, Qingwen Qi and An Zhang
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Shi Liang: National Key Clinical Specialty of Occupational Diseases, Shenzhen Occupational Diseases Prevention and Treatment Center, Shenzhen 518020, China
Chong Sun: National Key Clinical Specialty of Occupational Diseases, Shenzhen Occupational Diseases Prevention and Treatment Center, Shenzhen 518020, China
Chanfang Liu: Shenzhen Environmental Monitoring Center, Shenzhen 518000, China
Lili Jiang: National Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Yingjia Xie: Shenzhen Environmental Monitoring Center, Shenzhen 518000, China
Shaohong Yan: Shenzhen Environmental Monitoring Center, Shenzhen 518000, China
Zhenyu Jiang: National Key Clinical Specialty of Occupational Diseases, Shenzhen Occupational Diseases Prevention and Treatment Center, Shenzhen 518020, China
Qingwen Qi: National Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
An Zhang: National Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

IJERPH, 2021, vol. 18, issue 10, 1-12

Abstract: Air pollutants have significant direct and indirect adverse effects on public health. To explore the relationship between air pollutants and meteorological conditions on the hospitalization for respiratory diseases, we collected a whole year of daily major air pollutants’ concentrations from Shenzhen city in 2013, including Particulate Matter (PM 10 , PM 2.5 ), Nitrogen dioxide (NO 2 ), Ozone (O 3 ), Sulphur dioxide (SO 2 ), and Carbon monoxide (CO). Meanwhile, we also gained meteorological data. This study collected 109,927 patients cases with diseases of the respiratory system from 98 hospitals. We investigated the influence of meteorological factors on air pollution by Spearman correlation analysis. Then, we tested the short-term correlation between significant air pollutants and respiratory diseases’ hospitalization by Distributed Lag Non-linear Model (DLNM). There was a significant negative correlation between the north wind and NO 2 and a significant negative correlation between the south wind and six pollutants. Except for CO, other air pollutants were significantly correlated with the number of hospitalized patients during the lag period. Most of the pollutants reached maximum Relative Risk (RR) with a lag of five days. When the time lag was five days, the annual average of PM 10 , PM 2.5 , SO 2 , NO 2 , and O 3 increased by 10%, and the risk of hospitalization for the respiratory system increased by 0.29%, 0.23%, 0.22%, 0.25%, and 0.22%, respectively. All the pollutants except CO impact the respiratory system’s hospitalization in a short period, and PM10 has the most significant impact. The results are helpful for pollution control from a public health perspective.

Keywords: air pollutants; meteorology; respiratory diseases; distributed non-linear models (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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