A Spatial Point Pattern Analysis of the 2003 SARS Epidemic in Beijing

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 互联网大数据与信息安全

	A Spatial Point Pattern Analysis of the 2003 SARS Epidemic in Beijing
	Cao, Zhidong1 ; Zhao, Pengfei 2; Liu, Jiayue 3; Zhong, Wei 3
	2017
会议名称	Proceedings of the 3rd ACM SIGSPATIAL Workshop on Emergency Management
会议日期	November 07 - 10, 2017
会议地点	Redondo Beach, CA, USA
摘要	Beijing was the most prevalent city of SARS in China in 2003. The study on the spatial distribution and clustering characteristics is helpful to deeply understand the epidemic of SARS in Beijing. In this paper, the home addresses of SARS patients accquired by investigation were considered as the spatial location, deriving 2321 cases of the spatial distribution and incidence rate of infected patients. Kernel estimation method is used to obtain the density distribution of SARS patients. The results indicate that the distribution density of infected people is gradually attenuated from the center of the city to the suburbs. Ripley’K function is also used to explore the spatial clustering characteristics of SARS infection. In addition, the influence of gender, contact history and SARS Beijing Xiaotangshan Hospital towards the spatial clustering of patients are analyzed and thus shows that the spatial clustering of patients is the strongest at 11km distance. Gender and history of exposure to SARS infection in the spatial clustering are of a small impact, while SARS Beijing Xiaotangshan Hospital on SARS infection in the spatial clustering are of a strong impact. The clustering characteristics are significantly weaker after the establishment of the hospital that shows the importance of the establishment of the hospital on prevent and control of SARS epidemic in Beijing.
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/20174
专题	多模态人工智能系统全国重点实验室_互联网大数据与信息安全
作者单位	1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences 2.University of Bath 3.Xi'an Jiaotong University
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Cao, Zhidong,Zhao, Pengfei,Liu, Jiayue,et al. A Spatial Point Pattern Analysis of the 2003 SARS Epidemic in Beijing[C],2017.

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