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An SIS Epidemic Model with Feedback Mechanism in Scale-free Networks

机译:一种SIS疫情模型,无规模网络中的反馈机制

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A new susceptible-infected-susceptible model with feedback mechanism is proposed. The dynamic behavior of the epidemic model with feedback mechanism in scale-free networks is researched by theoretical analysis and computer simulation. The results show that feedback mechanism can reduce the stable infective ratio of system; however, it can not influence the epidemic threshold of system. The results can help us to understand rightly epidemic spreading process in reality networks and guide people to design effective epidemic preventive and controlling measures when epidemic outbreaks.
机译:提出了一种新的敏感感染易感模型,具有反馈机制。通过理论分析和计算机仿真研究了无规模网络中反馈机制的流行病模型的动态行为。结果表明,反馈机制可以降低系统的稳定感染率;但是,它不能影响系统的疫情阈值。结果可以帮助我们在现实网络中了解正确的疫情传播过程,并指导人们在流行性爆发时设计有效的疫情预防和控制措施。

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