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Spatio-temporal Simulation of Epidemiological SIQR Model Based on the Multi-Agent System with Focus on Influenza A (H1N1)

  • Hong Xiao
  • Huaiyu Tian
  • Lei Shao
  • Jian Zhao
  • Jing-zhe Xu
Part of the Communications in Computer and Information Science book series (CCIS, volume 107)

Abstract

Influenza A (H1N1) has caused tremendous damage in the world, so to learn its law is of great significance in the epidemic prevention and social stability. Taking the multi-agent system (MAS), geo-spatial environment to build the simulation model, SIQR epidemic model is introduced to simulate the process of the spread of influenza A (H1N1), test the multiple sets of preventive and control measures proposed from the perspectives of administrators and the public and do comparisons with the testing results. The testing results indicate that: the control of short-term epidemic spread requires administrators to implement powerful effective measures in public places to isolate patients, while inhibition of spread and rebound of the epidemic in a long-term way hereof needs administrators and the public working together to strengthen the self-protection, and timely medical treatment; repeated trials of the disease shows that the occurrence of rebound in the vicinity of 100d; the number of the immune and the susceptible are negatively correlated.

Keywords

influenza A (H1N1) multi-agent system SIQR model spread simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Hong Xiao
    • 1
    • 2
  • Huaiyu Tian
    • 1
  • Lei Shao
    • 3
  • Jian Zhao
    • 4
  • Jing-zhe Xu
    • 1
  1. 1.College of Resources and Environment ScienceHunan Normal UniversityChangshaP.R. China
  2. 2.School of Info-Physics and Geomatics EngineeringCentral South UniversityChangshaP.R. China
  3. 3.Clinical division of 256Bethune International Peace HospitalShijiazhuangP.R. China
  4. 4.Health Science CenterPeking UniversityBeijingP.R. China

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