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        媒體報道下隨機(jī)SIQS流行病模型的動態(tài)行為研究

        2019-06-10 02:57:50胡晶晶李彩鳳韋煜明彭華勤

        胡晶晶 李彩鳳 韋煜明 彭華勤

        摘 要: 研究了媒體報道干預(yù)策略下的隨機(jī)SIQS流行病模型.構(gòu)造合適的 Lyapunov 函數(shù),使用It公式和馬爾可夫半群理論,證明了基本再生數(shù)Rs0可用于控制隨機(jī)流行病模型的動態(tài)行為,即如果再生數(shù)Rs0<1,并且在其他條件下,疾病將消亡;如果再生數(shù)Rs0>1,并且在其他條件下,疾病是持久性的.結(jié)論表明:大的白噪聲可以抑制疾病的爆發(fā),這為制定有用的控制策略來調(diào)節(jié)疾病的動態(tài)行為提供有效幫助.最后通過數(shù)值模擬驗證了這一結(jié)果.

        關(guān)鍵詞: 媒體報道; 隨機(jī)SIQS流行病模型; 馬爾可夫半群; 基本再生數(shù)

        1 Introduction

        The spread of diseases seriously hinders the development of society and economy[1].Hence,it′s necessary to control the spread of infectious diseases.HETHCOTE et al.[2] considers the following classic SIQS epidemic model:

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        [10] WEI F,LIN Q.Extinction and distribution for an SIQS epidemic model with quarantined-adjusted incidence [J].Acta Mathematica Scientia,2017,37A(6):1148-1161.

        [11] CAI Y,KANG Y,BANERJEE M,et al.A stochastic SIRS epidemic model with infectious force under intervention strategies [J].Journal of Differential Equations,2015,259(12):7463-7502.

        [12] LYAPUNOV A M.The general problem of the stability of motion [J].International Journal of Control,1992,55(3):531-534.

        [13] MAO X.Stochastic Differential Equations and Their Applications [M].Chichester:Ellis Horwood,1997.

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        (責(zé)任編輯:馮珍珍)

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