基于白噪声的网络传染病模型动力学分析北大核心CSCD

该文基于确定性网络传染病模型,建立了白噪声影响下的随机网络传染病模型,证明了模型全局解的存在唯一性,利用随机微分方程理论得到了传染病随机灭绝和随机持久的充分条件.结果表明,白噪声对网络传染病传播动力学有很大的影响,白噪声能有效抑制传染病的传播,大的白噪声甚至能让原本持久的传染病变得灭绝.最后,通过数值模拟验证了理论结果.     

一类基于心理作用的随机SIRS传染病模型

首先建立了一类基于心理作用的随机SIRS传染病模型,通过构造Lyapunov函数,利用It?引理,强大数定理和停时等随机分析理论,证明了模型全局正解的存在唯一性,并给出使疾病灭绝或持久的充分条件.其次,考虑了时滞对系统的影响,证明了基于心理作用的时滞随机SIRS传染病模型全局正解的存在唯一性.最后,应用Euler方法和Milstein方法进行数值模拟,验证本文建立的结论.     

具有标准发生率的随机SIR传染病模型的建立及平稳分布与疾病灭绝研究

研究了一类具有标准发生率以及考虑随机扰动与系统变量成正比的随机SIR传染病模型.首先,对于任意的正的初值,系统存在唯一的全局正解以及通过构造合适的随机李雅普诺夫函数,得到了模型遍历平稳分布存在的充分条件.其次,给出了疾病灭绝的充分条件,并与模型遍历平稳分布存在的充分条件作对比,得出了在特定条件下随机SIR模型的阈值.最后通过数值模拟验证了结果的正确性.     

一类具有VCT意识的随机HIV/AIDS模型的动力学分析

建立了一类具有自愿咨询和检测(VCT)意识的随机HIV/AIDS传染病模型,利用停时理论等方法证明了随机模型正解的全局存在唯一性.其次,分析了该随机模型的解在相应确定性模型的无病平衡点与地方病平衡点附近的渐近行为,并得到了随机模型解的平均持续与灭绝性的充分条件.最后,通过数值模拟进一步显示了模型的动力学行为.     

一类具有常数输入的随机SIR流行病模型的定性分析

研究了一类易感者和恢复者具有常数输入的随机SIR传染病模型.利用停时理论及Lyapunov分析方法,证明了该随机模型正解的全局存在唯一性和有界性,讨论了随机模型的解在相应确定模型的无病平衡点和地方病平衡点附近的振荡行为以及得到了随机模型的解的平均持久和疾病灭绝的充分条件.最后,通过数值模拟验证和理论推导的一致性.     

混合随机SIR传染病模型的动力学分析

研究一类具有一般发病率函数的混合随机SIR传染病模型.首先,通过构造适当的Lyapunov函数,证明了模型全局正解的存在唯一性.然后,利用随机分析方法,建立了系统灭绝与持久的充分且几乎必要条件和遍历平稳分布的存在性.最后,通过数值模拟来验证理论结果.     

随机多群体SIRI传染病模型的动力学行为

本文研究具有随机多群体SIRI传染病模型的动力学行为.首先建立一类具有随机白噪声的多群体SIRI传染病模型,并给出模型正解的全局存在唯一性;然后,借助基本再生数和不可约矩阵性质,通过构造一系列新的Lyapunov函数,我们获得随机模型的解分别在时间均值意义下围绕无病平衡点和地方病平衡点做随机振动的渐近行为,并给出随机振动的幅度估计;进一步地,我们得到了系统的平稳分布和遍历性,所得结果推广和改进已有工作.     

带有标准发生率和信息干预的随机SIRS传染病模型的灭绝性和平稳分布

本文考虑了一类具有标准发生率和信息干预的随机SIRS传染病模型.定义了一个停时,通过构造适当的Lyapunov函数证明了停时为无穷大,从而证明了该模型唯一正解的全局存在性.通过构造紧集和适当的Lyapunov函数,证明模型解的平稳分布的存在性及其遍历性.此外还证明了疾病的灭绝性.     

具有非单调发生率的时滞随机传染病模型分析

传染病模型易受外界随机因素的干扰.该文提出一类具有非单调发生率的时滞随机传染病模型.利用Lyapunov方法及伊藤公式,证明了该模型具有唯一一个正全局解和该模型的无病平衡点是随机稳定的,并且得到了相应的确定型模型地方病平衡点在随机扰动下的渐近性.最后,利用数值仿真图例对理论结果加以验证说明.     

一类带Lévy跳的随机SIRS传染病模型的渐近性分析北大核心CSCD

研究了一类带有随机白噪声干扰及Lévy跳的SIRS型传染病模型.首先利用停时等方法证明了模型全局解的存在性和唯一性,然后得到了染病种群趋于灭绝及依平均持久的充分条件,最后对结果进行了数值模拟.     

带有标准发生率和信息干预的随机时滞SIRS传染病模型的动力学行为

考虑了一类具有标准发生率和信息干预的随机时滞SIRS传染病模型.定义了一个停时,通过构造适当的Lyapunov函数证明了停时为无穷大,从而证明了该模型正解的全局存在性和唯一性.通过构造适当的 Lyapunov函数,研究了该模型的解在确定性模型无病平衡点和地方病平衡点附近的渐近行为,得到了在一定条件下随机系统的解分别围绕两个平衡点做随机振动.     

一类SIR传染病随机模型的解

分析了一类在固定人口下的传染病流行的随机模型,利用对模型的微分方程的系数矩阵的分块方法讨论了它的解及其渐进性质.     

Dynamical behavior of a stochastic HBV infection model with logistic hepatocyte growth

This paper is concerned with a stochastic HBV infection model with logistic growth. First, by constructing suitable stochastic Lyapunov functions, we establish sufficient conditions for the existence of ergodic stationary distribution of the solution to the HBV infection model. Then we obtain sufficient conditions for extinction of the disease. The stationary distribution shows that the disease can become persistent in vivo.     

Analysis of a saturation incidence SVEIRS epidemic model with pulse and two time delays

In this paper, we study a new SVEIRS infectious disease model with pulse and two time delays. The pulse vaccination strategy is used as an effective strategy for the elimination of infectious disease. The model consists of a set of integro-differential equations. The existence and global attractivity of ‘infection-free’ periodic solution, permanence of an endemic model are investigated.     

Dynamics of an impulsive stochastic SIR epidemic model with saturated incidence rate

In this paper, the dynamics of an impulsive stochastic SIR epidemic model with saturated incidence rate are analyzed. The existence and uniqueness of the global positive solution is proved by constructing the equivalent system without pulses. The threshold which determines the extinction and persistence of the disease is obtained. The global attraction of disease-free periodic solution is addressed. Sufficient condition for the existence of a positive periodic solution is established. These results are supported by computer simulations.     

The threshold for a stochastic HIV-1 infection model with Beddington-DeAngelis incidence rate

In this paper, we consider a stochastic HIV-1 infection model with Beddington-DeAngelis incidence rate. Before exploring its long-time behavior we show that there is a global positive solution of this model. Then sufficient conditions for extinction of the disease are established. Moreover, we give sufficient conditions for the existence of a stationary distribution of the model through constructing a suitable stochastic Lyapunov function. The stationary distribution implies that the disease is persistent in the mean. Therefore, a threshold value for the disease to disappear or prevail is obtained. Finally, some numerical examples are illustrated to support our theoretical results.     

Stability of a stochastic SEIS model with saturation incidence and latent period

In this paper, a stochastic SEIS epidemic model with a saturation incidence rate and a time delay describing the latent period of the disease is investigated. The model inherits the endemic steady state from its corresponding deterministic counterpart. We first show the existence and uniqueness of the global positive solution of the model. Then, by constructing Lyapunov functionals, we derive sufficient conditions ensuring the stochastic stability of the endemic steady state. Numerical simulations are carried out to confirm our analytical results. Furthermore, our simulation results shows that the existence of noise and delay may cause the endemic steady state to be unstable.     

On a stochastic disease model with vaccination

We propose a stochastic disease model where vaccination is included and such that the immunity isn’t permanent. The existence, uniqueness and positivity of the solution and the stability of disease free equilibrium is studied. The numerical simulation is done.