Journal
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Volume 15, Issue 4, Pages -Publisher
MDPI
DOI: 10.3390/ijerph15040647
Keywords
childhood asthma hospitalization; air pollution; time-stratified case-crossover design; urban pattern; big data and open data
Funding
- Ministry of Science and Technology [MOST 104-2218-E-155-004, MOST 105-2221-E-155-041-MY3]
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Few studies have assessed the lagged effects of levels of different urban city air pollutants and seasons on asthma hospitalization in children. This study used big data analysis to explore the effects of daily changes in air pollution and season on childhood asthma hospitalization from 2001 to 2010 in Taipei and Kaohsiung City, Taiwan. A time-stratified case-crossover study and conditional logistic regression analysis were employed to identify associations between the risk of hospitalization due to asthma in children and the levels of air pollutants (PM2.5, PM10, O-3, SO2, and NO2) in the days preceding hospitalization. During the study period, 2900 children in Taipei and 1337 in Kaohsiung aged <= 15 years were hospitalized due to asthma for the first time. The results indicated that the levels of air pollutants were significantly associated with the risk of asthma hospitalization in children, and seasonal effects were observed. High levels of air pollution in Kaohsiung had greater effects than in Taipei after adjusting for seasonal variation. The most important factor was O-3 in spring in Taipei. In children aged 0-6 years, asthma was associated with O-3 in Taipei and SO2 in Kaohsiung, after controlling for the daily mean temperature and relative humidity.
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