Agent-based Health Policy Gaming and Simulation for Ebola Haemorrhagic Fever

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Other Title
  • エボラ出血熱に対するエージェントベース医療政策ゲーミング&シミュレーション

Abstract

<p>This study proposes a simulation model of a new type of infectious disease based on smallpox, Ebola haemorrhagic fever and a health policy Game. SIR （Susceptible, Infected, Recovered） model has been widely used to analyse infectious diseases such as influenza, small- pox, bioterrorism, to name a few. On the other hand, Agent-based model or Individual-based model begins to spread in recent years. The model enables to represent behaviour of each person in the computer. It also reveals the spread of an infection by simulation of the contact process among people in the model. The study designs a model based on Ep- stein’s model in which several health policies are decided such as vaccine stocks, antiviral medicine stocks, the number of medical staff to infection control measures and so on. Furthermore, infectious simulation of Ebola haemorrhagic fever, which has not yet any effective vaccine, is also implemented in the model. As results of experiments using the model, it has been found that preventive vaccine, antiviral medicine stocks and the number of medical staff are crucial factors to prevent the spread. In addition, a health policy game against a new type of infectious disease is designed as a serious game.</p>

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Details 詳細情報について

  • CRID
    1390845702278734208
  • NII Article ID
    130007706372
  • DOI
    10.32165/jasag.26.2_52
  • ISSN
    24340472
    13451499
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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