Integrated systemic inflammatory response syndrome epidemic model in scale-free networks

• Published in: Chinese physics B Vol. 20; no. 9; pp. 77 - 78
• Main Author: 蔡绍洪 张达敏 龚光武 郭长睿
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.09.2011
• Subjects: 传播过程; 影响系统; 无标度网络; 炎症反应; 疫情; 综合征; 网络模型; 集成
• ISSN: 1674-1056; 2058-3834
• DOI: 10.1088/1674-1056/20/9/090503

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.