Integrated systemic inflammatory response syndrome epidemic model in scale-free networks
Cai Shao-Hong(蔡绍洪)a)† , Zhang Da-Min(张达敏)b), Gong Guang-Wu(龚光武)b), and Guo Chang-Rui(郭长睿)a)
aSchool of Informatics, Guizhou College of Finance and Economics, Guiyang 550004, China; bSchool of Computer Science and Information, Guizhou University, Guiyang 550025, China
Abstract 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.
Cai Shao-Hong(蔡绍洪), Zhang Da-Min(张达敏), Gong Guang-Wu(龚光武), and Guo Chang-Rui(郭长睿) Integrated systemic inflammatory response syndrome epidemic model in scale-free networks 2011 Chin. Phys. B 20 090503
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