@inproceedings{f09973bfa0634382b247a5abd3ae890d,
title = "Investigate the Relationship Between Traumatic Occurrences and Socio-Economic Status Based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China",
abstract = "Numerous incidences in the world have been occurring and causing trauma to humans. Trauma that can be physical or psychological causes not only great harms and deaths to patients but also huge burdens of expenses to the families and public health sectors for due to treatments in China. Many studies have been researching on this subject. However, such studies lack to provide comprehensive information on the relationships between trauma incidences and their occurring environment. This study used GIS and trauma patients{\textquoteright} data from Qingpu district in Shanghai to investigate the relationships between trauma incidences and their occurring environment. Such environments were studied in two levels of the socio-economic status (SES): Individual and sub-district. At the individual level, trauma incidences were studied with the housing prices, and at the sub-district level, were studied with the per capita disposable income in neighborhoods. We used descriptive and regression methods to count trauma incidences and analyze their relationships with SES. The results showed that trauma incidences are statistically negatively correlated with the the house prices and the per capita disposable income by the Pearson correlation coefficients of 0.71 and 0.72, respectively. The hot spot analyses showed that many trauma cases occurred in the Xiayang and Jinze streets as compared with other streets. When taken together, t These results provide a new baseline information that the researchers and health practitioners that could be used for learning and preparing effective measures for of mitigating and reducing trauma incidences and their resulting adverse impacts.",
keywords = "GIS, Socio-economic status, Trauma incidences, Trauma patients, house prices, per capita disposable income",
author = "Huili Jin and Hongwei Xia and Joseph Mango and Jing Wang and Hong Yi and Xiaoming Yu and Xiang Li",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International Conference on Spatial Data and Intelligence, SpatialDI 2023 ; Conference date: 13-04-2023 Through 15-04-2023",
year = "2023",
doi = "10.1007/978-3-031-32910-4\_10",
language = "英语",
isbn = "9783031329098",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "140--153",
editor = "Xiaofeng Meng and Xiang Li and Jianqiu Xu and Xueying Zhang and Yuming Fang and Bolong Zheng and Yafei Li",
booktitle = "Spatial Data and Intelligence - 4th International Conference, SpatialDI 2023, Proceedings",
address = "德国",
}