Disease surveillance based on spatial contact networks: A case study of Beijing 2003 SARS epidemic

Daniel Zeng, Hsinchun Chen, Zhidong Cao, Fei Yue Wang, Xiaolong Zheng, Quanyi Wang

Research output: Contribution to journalArticle

3 Scopus citations

Abstract

A case study analyzing spatial-contact networks to detect the spatial risk of SAR epidemics in Beijing in 2003 is presented. The data used in the study from a survey of 2,444 SARS patients in Beijing, was conducted by the Beijing Centers for Disease Control and Prevention and covering the period from 1 March 2003 to 7 June 2003. To analyze the spatial patterns and understand the complexity of spatial transmission risks, home addresses were adopted as the spatial locations for cases. The data set confirmed 624 SARS patients with records of detailed patient contact relationships. The results reveal that SARS transmission is anisotropic in Beijing. The city center has the highest risk of SARS epidemic, and the risk in the east is significantly higher than that in other directions. It was found that the spatial-risk detection results of spatial-contact networks were largely consistent with results based on local spatial association.

Original languageEnglish (US)
Pages (from-to)77-82
Number of pages6
JournalIEEE Intelligent Systems
Volume24
Issue number6
StatePublished - Nov 2009

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence

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