title: Spatial vulnerability under extreme events: a case of Asian dust storm's effects on children's respiratory health.
abstract: Asian dust storm (ADS) events have raised concerns regarding their adverse impact on human health. Whether ADS events can result in the heterogeneity of health impacts on children across space and time has not been studied. The goal of this study is to examine the spatial vulnerability impact of ADS events on children's respiratory health geographically and to analyze any patterns related to ADS episodes. From 1998 to 2007, data from both preschool children's and schoolchildren's daily respiratory clinic visits, gathered from patients located in 41 districts of Taipei City and New Taipei City, are analyzed in a Bayesian spatiotemporal model in order to investigate the interaction between spatial effects and ADS episodes. When adjusting for the temporal effect, air pollutants, and temperature, the spatial pattern explicitly varies during defined study periods: non-ADS periods, ADS periods, and post-ADS periods. Compared to non-ADS periods, the relative rate of children's respiratory clinic visits significantly reduced 0.74 to 0.99 times in most districts during ADS periods, while the relative rate rose from 1.01 to 1.11 times in more than half of districts during post-ADS periods, especially in schoolchildren. This spatial vulnerability denotes that the significantly increased relative rate of respiratory clinic visits during post-ADS periods is primarily located in highly urbanized areas for both children's populations. Hence, the results of this study suggest that schoolchildren are particularly more vulnerable to the health impacts of ADS exposure in terms of higher excessive risks over a larger spatial extent than preschool children, especially during post-ADS periods.
authors: Department of Bioenvironmental Systems Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 10617, Taiwan.
authors: Hwa-Lung
authors: HL
authors: Yu
authors: Chiang-Hsing
authors: CH
authors: Yang
authors: Lung-Chang
authors: LC
authors: Chien
mesh_terms: D000293:Adolescent; D000393:Air Pollutants / Q000009:adverse effects*; D000397:Air Pollution / Q000706:statistics & numerical data*; D001499:Bayes Theorem; D002648:Child; D002675:Child, Preschool; D002947:Cities / Q000706:statistics & numerical data; D004391:Dust / Q000032:analysis*; D004784:Environmental Monitoring; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D019570:Inhalation Exposure / Q000706:statistics & numerical data*; D008297:Male; D012140:Respiratory Tract Diseases / Q000453:epidemiology*; D062206:Spatial Analysis; D013624:Taiwan / Q000453:epidemiology; D013696:Temperature; D014887:Weather; D014919:Wind
chemical_list: D000393:Air Pollutants; D004391:Dust