Does the Short-Term Effect of Air Pollution Influence the Incidence of Spontaneous Intracerebral Hemorrhage in Different Patient Groups? Big Data Analysis in Taiwan

Ting-Ying Chien, Hsien-Wei Ting, Chien-Lung Chan, Nan-Ping Yang, Ren-Hao Pan, K. Robert Lai and Su-In Hung
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Ting-Ying Chien: Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan
Hsien-Wei Ting: Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan
Chien-Lung Chan: Innovation Center for Big Data and Digital Convergence, Yuan Ze University, Taoyuan 320, Taiwan
Nan-Ping Yang: Community Medicine Research Center, National Yang-Ming University, Taipei 112, Taiwan
Ren-Hao Pan: Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan
K. Robert Lai: Department of Computer Science and Engineering, Yuan Ze University, Taoyuan 320, Taiwan
Su-In Hung: Center of Quality and Patient Safety Management, Taipei Hospital, Ministry of Health and Welfare, New Taipei City 242, Taiwan

IJERPH, 2017, vol. 14, issue 12, 1-10

Abstract: Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research has demonstrated that the occurrence of sICH is related to air pollution. This study used big data analysis to explore the impact of air pollution on the risk of sICH in patients of differing age and geographic location. 39,053 cases were included in this study; 14,041 in the Taipei region (Taipei City and New Taipei City), 5537 in Taoyuan City, 7654 in Taichung City, 4739 in Tainan City, and 7082 in Kaohsiung City. The results of correlation analysis indicated that there were two pollutants groups, the CO and NO 2 group and the PM 2.5 and PM 10 group. Furthermore, variations in the correlations of sICH with air pollutants were identified in different age groups. The co-factors of the influence of air pollutants in the different age groups were explored using regression analysis. This study integrated Taiwan National Health Insurance data and air pollution data to explore the risk factors of sICH using big data analytics. We found that PM 2.5 and PM 10 are very important risk factors for sICH, and age is an important modulating factor that allows air pollutants to influence the incidence of sICH.

Keywords: air pollution; big data; meteorological factors; spontaneous intracerebral hemorrhage (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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