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The Impact of Community Structure of Social Contact Network on Epidemic Outbreak and Effectiveness of Non-pharmaceutical Interventions

  • Youzhong Wang
  • Daniel Zeng
  • Zhidong Cao
  • Yong Wang
  • Hongbin Song
  • Xiaolong Zheng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6749)

Abstract

The topology structure of social contacts network has a big impact on dynamic patterns of epidemic spreading and effectiveness of non-pharmaceutical interventions. Corresponding to individuals’ behavioral or functional units, people are commonly organized in small communities, meaning that most of social contacts networks tend to display community structure property. Through empirical investigation and Monte-Carlo simulation on a big H1N1 outbreak in a Chinese university campus, this paper explores the impact of community structure property of social contacts network on epidemic spreading and effectiveness of interventions. A stochastic model based on social contacts networks among students is constructed to simulate this outbreak, revealing that epidemic outbreaks commonly occur in local community. Moreover, effectiveness of three quarantine-based interventions is quantitatively studied by our proposed model, finding that community structure of social networks determines the effects these measures.

Keywords

community structure social contact network epidemic outbreak non-pharmaceutical Interventions H1N1 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Youzhong Wang
    • 1
  • Daniel Zeng
    • 1
    • 2
  • Zhidong Cao
    • 1
  • Yong Wang
    • 3
  • Hongbin Song
    • 3
  • Xiaolong Zheng
    • 1
  1. 1.The Key Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation, Chinese Academy of SciencesBeijingChina
  2. 2.MIS DepartmentThe University of ArizonaTucsonU.S.A.
  3. 3.Institute of Disease Control and PreventionAcademy of Military Medical SciencesBeijingChina

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