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Investigate the Relationship Between Traumatic Occurrences and Socio-Economic Status Based on Geographic Information System (GIS): The Case of Qingpu in Shanghai, China

  • Huili Jin
  • , Hongwei Xia
  • , Joseph Mango
  • , Jing Wang
  • , Hong Yi
  • , Xiaoming Yu
  • , Xiang Li*
  • *此作品的通讯作者
  • East China Normal University
  • Zhongshan Hospital
  • University of Dar Es Salaam

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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’ 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.

源语言英语
主期刊名Spatial Data and Intelligence - 4th International Conference, SpatialDI 2023, Proceedings
编辑Xiaofeng Meng, Xiang Li, Jianqiu Xu, Xueying Zhang, Yuming Fang, Bolong Zheng, Yafei Li
出版商Springer Science and Business Media Deutschland GmbH
140-153
页数14
ISBN(印刷版)9783031329098
DOI
出版状态已出版 - 2023
活动4th International Conference on Spatial Data and Intelligence, SpatialDI 2023 - Nanchang, 中国
期限: 13 4月 202315 4月 2023

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13887 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议4th International Conference on Spatial Data and Intelligence, SpatialDI 2023
国家/地区中国
Nanchang
时期13/04/2315/04/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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