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Global stability and attractivity of a network-based SIS epidemic model with nonmonotone incidence rate

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  • Wei, Xiaodan
  • Liu, Lijun
  • Zhou, Wenshu

Abstract

In this paper, we study the global stability and attractivity of the endemic equilibrium for a network-based SIS epidemic model with nonmonotone incidence rate. The model was introduced in Li (2015). We prove that the endemic equilibrium is globally asymptotically stable if α (a parameter of this model) is sufficiently large, and is globally attractive if the transmission rate λ satisfies λλc∈(1,2], where λc is the epidemic threshold. Some numerical experiments are also presented to illustrate the theoretical results.

Suggested Citation

  • Wei, Xiaodan & Liu, Lijun & Zhou, Wenshu, 2017. "Global stability and attractivity of a network-based SIS epidemic model with nonmonotone incidence rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 789-798.
    • Handle: RePEc:eee:phsmap:v:469:y:2017:i:c:p:789-798
    DOI: 10.1016/j.physa.2016.11.030
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    References listed on IDEAS

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    1. Yang, Meng & Chen, Guanrong & Fu, Xinchu, 2011. "A modified SIS model with an infective medium on complex networks and its global stability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(12), pages 2408-2413.
    2. Li, Chun-Hsien, 2015. "Dynamics of a network-based SIS epidemic model with nonmonotone incidence rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 234-243.
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    Cited by:

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    3. Leyi Zheng & Longkun Tang, 2019. "A Node-Based SIRS Epidemic Model with Infective Media on Complex Networks," Complexity, Hindawi, vol. 2019, pages 1-14, February.
    4. Huang, Shouying, 2018. "Global dynamics of a network-based WSIS model for mobile malware propagation over complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 293-303.

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