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Complex dynamics and control strategies of SEIR heterogeneous network model with saturated treatment

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  • Zhou, Jiaying
  • Zhao, Yi
  • Ye, Yong

Abstract

In this paper, we introduce saturated treatment into the network-based Susceptible–Exposed–Infected–Recovered (SEIR) epidemic model. By the stability analysis of disease-free equilibrium, we notice that unlike the common situation, the basic reproduction number R0<1 cannot guarantee the global stability of disease-free equilibrium, which indicates that the stronger condition of R0

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  • Zhou, Jiaying & Zhao, Yi & Ye, Yong, 2022. "Complex dynamics and control strategies of SEIR heterogeneous network model with saturated treatment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P2).
    • Handle: RePEc:eee:phsmap:v:608:y:2022:i:p2:s0378437122008457
    DOI: 10.1016/j.physa.2022.128287
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    References listed on IDEAS

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    6. Khan, Muhammad Altaf & Khan, Yasir & Islam, Saeed, 2018. "Complex dynamics of an SEIR epidemic model with saturated incidence rate and treatment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 210-227.
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    Cited by:

    1. Zhou, Jiaying & Ye, Yong & Arenas, Alex & Gómez, Sergio & Zhao, Yi, 2023. "Pattern formation and bifurcation analysis of delay induced fractional-order epidemic spreading on networks," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    2. Tibor Kmet & Maria Kmetova & Ladislav Végh, 2023. "Neural Networks Simulation of Distributed SEIR System," Mathematics, MDPI, vol. 11(9), pages 1-14, April.

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