Print ISSN:1674-1056  |  Online ISSN:2058-3834  |  CN:11-5639/O4
  • Cite this article:

    Cai Shao-Hong, Zhang Da-Min, Gong Guang-Wu, Guo Chang-Rui. Integrated systemic inflammatory response syndrome epidemic model in scale-free networksJ. Chin. Phys. B, 2011, 20(9): 090503.
    Cai Shao-Hong, Zhang Da-Min, Gong Guang-Wu, Guo Chang-Rui. Integrated systemic inflammatory response syndrome epidemic model in scale-free networksJ. Chin. Phys. B, 2011, 20(9): 090503.
  • Integrated systemic inflammatory response syndrome epidemic model in scale-free networks

    • Based on the scale-free network, an integrated systemic inflammatory response syndrome model with artificial immunity, a feedback mechanism, crowd density and the moving activities of an individual can be built. The effects of these factors on the spreading process are investigated through the model. The research results show that the artificial immunity can reduce the stable infection ratio and enhance the spreading threshold of the system. The feedback mechanism can only reduce the stable infection ratio of system, but cannot affect the spreading threshold of the system. The bigger the crowd density is, the higher the infection ratio of the system is and the smaller the spreading threshold is. In addition, the simulations show that the individual movement can enhance the stable infection ratio of the system only under the condition that the spreading rate is high, however, individual movement will reduce the stable infection ratio of the system.
    • Article Text

    • loading

    Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return