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Application of a Time-Stratified Case-Crossover Design to Explore the Effects of Air Pollution and Season on Childhood Asthma Hospitalization in Cities of Differing Urban Patterns: Big Data Analytics of Government Open Data

Author

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  • Ching-Yen Kuo

    (Institute of Information Management, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan
    Department of Medical Administration, Taoyuan General Hospital, Ministry of Health and Welfare, 1492 Zhongshan Road, Taoyuan Dist., Taoyuan 330, Taiwan)

  • Ren-Hao Pan

    (Institute of Information Management, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan)

  • Chin-Kan Chan

    (Department of Pediatrics, Taoyuan General Hospital, Ministry of Health and Welfare, 1492 Zhongshan Road, Taoyuan Dist., Taoyuan 330, Taiwan)

  • Chiung-Yi Wu

    (Institute of Information Management, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan)

  • Dinh-Van Phan

    (Institute of Information Management, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan
    Innovation Center for Big Data and Digital Convergence, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan
    University of Economics, The University of Danang, , 71 Ngu Hanh Son Street, Danang 550000, Vietnam)

  • Chien-Lung Chan

    (Institute of Information Management, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan
    Innovation Center for Big Data and Digital Convergence, Yuan-Ze University, 135 Yuan-Tung Road, Jung-Li, Taoyuan 320, Taiwan)

Abstract

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 (PM 2.5 , PM 10 , O 3 , SO 2 , and NO 2 ) 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 SO 2 in Kaohsiung, after controlling for the daily mean temperature and relative humidity.

Suggested Citation

  • Ching-Yen Kuo & Ren-Hao Pan & Chin-Kan Chan & Chiung-Yi Wu & Dinh-Van Phan & Chien-Lung Chan, 2018. "Application of a Time-Stratified Case-Crossover Design to Explore the Effects of Air Pollution and Season on Childhood Asthma Hospitalization in Cities of Differing Urban Patterns: Big Data Analytics ," IJERPH, MDPI, vol. 15(4), pages 1-15, March.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:647-:d:138993
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    References listed on IDEAS

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    1. Meng-Hsuan Cheng & Hui-Fen Chiu & Chun-Yuh Yang, 2015. "Coarse Particulate Air Pollution Associated with Increased Risk of Hospital Admissions for Respiratory Diseases in a Tropical City, Kaohsiung, Taiwan," IJERPH, MDPI, vol. 12(10), pages 1-16, October.
    2. Pablo Orellano & Nancy Quaranta & Julieta Reynoso & Brenda Balbi & Julia Vasquez, 2017. "Effect of outdoor air pollution on asthma exacerbations in children and adults: Systematic review and multilevel meta-analysis," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-15, March.
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    1. Brandy M. Byrwa-Hill & Arvind Venkat & Albert A. Presto & Judith R. Rager & Deborah Gentile & Evelyn Talbott, 2020. "Lagged Association of Ambient Outdoor Air Pollutants with Asthma-Related Emergency Department Visits within the Pittsburgh Region," IJERPH, MDPI, vol. 17(22), pages 1-10, November.

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