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Epidemic spreading of interacting diseases with activity of nodes reshapes the critical threshold

Author

Listed:
  • Chongjun Fan

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China)

  • Yang Jin

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China)

  • Liang-An Huo

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China)

  • Chen Liu

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China)

  • Yunpeng Yang

    (Business School, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China)

Abstract

In this paper, based on susceptible–infected–susceptible (SIS) scheme, we introduce a framework that allows us to describe the spreading dynamics of two interacting diseases with active nodes. Different from previous studies, the two different diseases, propagating concurrently on the same population, can interact with each other by modifying their transmission rates. Meanwhile, according to certain probabilities, each node on the complex networks rotates between active state and inactive state. Based on heterogeneous mean-field approach, we analyze the epidemic thresholds of the two diseases and compute the temporal evolution characterizing the spreading dynamics. In addition, we validate these theoretical predictions by numerical simulations with phase diagrams. Results show that the secondary thresholds for the two opposite scenarios (mutual enhancement scenario and mutual impairment scenario) are different. We also find that the value of critical threshold and the final size of spreading dynamics are reduced as the node activity rate decreases.

Suggested Citation

  • Chongjun Fan & Yang Jin & Liang-An Huo & Chen Liu & Yunpeng Yang, 2017. "Epidemic spreading of interacting diseases with activity of nodes reshapes the critical threshold," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(01), pages 1-12, January.
  • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:01:n:s0129183117500139
    DOI: 10.1142/S0129183117500139
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    Cited by:

    1. Jia, Nan & Ding, Li & Liu, Yu-Jing & Hu, Ping, 2018. "Global stability and optimal control of epidemic spreading on multiplex networks with nonlinear mutual interaction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 93-105.

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