The SAITS epidemic spreading model and its combinational optimal suppression control

Wei Ding, Li Ding, Zhengmin Kong, Feng Liu

    Research output: Contribution to journalArticlepeer-review

    Abstract

    In this paper, an SAITS epidemic model based on a single layer static network is proposed and investigated. This model considers a combinational suppression control strategy to suppress the spread of epidemics, which includes transferring more individuals to compartments with low infection rate and with high recovery rate. The basic reproduction number of this model is calculated and the disease-free and endemic equilibrium points are discussed. An optimal control problem is formulated to minimize the number of infections with limited resources. The suppression control strategy is investigated and a general expression for the optimal solution is given based on the Pontryagin's principle of extreme value. The validity of the theoretical results is verified by numerical simulations and Monte Carlo simulations.

    Original languageEnglish
    Pages (from-to)3342-3354
    Number of pages13
    JournalMathematical Biosciences and Engineering
    Volume20
    Issue number2
    DOIs
    StatePublished - 2023

    Keywords

    • SAITS model
    • complex network
    • epidemic spreading
    • optimal control

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