The prevalence of asthma and severe asthma in children influenced by transportation factors: Evidence from spatial analysis in Seoul, Korea

作者: Yongjin Ahn , Dohyung Kim

DOI: 10.1016/J.CITIES.2018.12.002

关键词: Spatial regression modelAir pollutantsAsthma severityEnvironmental healthAsthmaSevere asthmaBus transitSpatial errorMedicine

摘要: Abstract Although the causes of asthma are inconclusive, it is fairly known that exposure to outdoor air pollutants can cause asthma, especially children's morbidity. Whereas transportation one major sectors generate pollutants, previous research investigates correlation between and narrowly focuses on contribution automobile traffic asthma. Developing three spatial regression models (a lag (SL) model, a error (SE) general (SAC) model), this paper roles variety factors in two distinct stages morbidity; severe With consideration asthma-related socio-economic City Seoul, SE (R2 = 0.31) SAC (R2 = 0.34) consistently indicate out four associate with at statistically significant level. They include negative influence bus transit dense intersections, positive active activities severity. Interestingly, however, no morbidity was identified by (R2 = 0.29) (R2 = 0.28) models. Shedding more light complexity severity, proposes collaborative partnerships not only among multi- dimensional agencies, but also multi-level government organizations.

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