具有非单调发病率的随机SIS模型的持续性与灭绝性

讨论了一类具有非单调发病率的随机SIS模型.主要贡献在两个方面.在数学上,应用随机分析技术证明了R_0~s可以作为随机模型的阈值.当R_0~s1时,随机模型存在一个无病的吸引集,即疾病会以概率1灭绝.当R_0~s1时,疾病是随机持续生存的.在流行病学上,结果表明环境噪声可以抑制疾病的爆发,可以为疾病的预防和控制提供一些参考.     

考虑治疗的离散HIV病毒模型的动力学性态（英文）

本文主要研究一类带有治疗的离散HIV模型的持续性和全局稳定性.通过定义基本再生数,我们得到当R_01时,模型的非感染平衡点是全局渐近稳定的,病毒将会消失.当R_0 1时,病毒将会持续存在.通过构造李雅普诺夫函数证明了当1 R_0N时,模型的感染平衡点是全局渐近稳定的.模型的阈值动力学性态和对应的连续模型是一致的.     

一类具有非线性发生率的随机SIS传染病模型阈值动力学行为研究

考虑到环境波动对传染病传播过程的影响,该文研究了一类具有非线性发生率的SIS随机传染病动力学模型的阈值动力学行为.利用Feller检测和随机比较原理得到了决定疾病绝灭或持久的随机基本再生数R_0~s,即当R_0~s1时,疾病将趋于绝灭;当R_0~s=1时,疾病也将趋于绝灭,这一结论补充了已有随机阈值结果;当R_0~s1时,疾病将随机持续下去,并给出了最终传染规模的范围估计.最后,利用数值仿真验证了文中所得出的结论并根据实际生物参数说明了环境波动对不同大小尺度群体中SIS传染病传播的影响.     

具常数输入及饱和发生率的脉冲接种SIQRS传染病模型

研究了具有常数输入及饱和发生率的脉冲接种SIQRS传染病模型,得到了疾病消除与否的阈值R_0=1.证明了当R_01时,系统存在全局渐近稳定的无病周期解;当R_01时,系统一致持久.     

一类潜伏期和染病期均传染的SEIQR模型的全局稳定性

研究一类潜伏期和染病期均传染的SEIQR传染病模型,得到疾病流行与否的阈值R_0.运用Lyapunov函数方法、LaSalle不变性原理及第二加性复合矩阵理论证明了当R_0≤1时无病平衡点全局渐近稳定,当R_01时地方病平衡点全局渐近稳定.     

具有一般复发现象的疾病模型的全局稳定性

本文研究了具有一般复发现象和非线性发生率的疾病模型的动力学性质,其中模型是具有无穷分布时滞的微积分方程.该模型描述了包含疱疹等传染病的—般复发现象.利用一致持久性理论和李雅普诺夫函数,我们证明了基本再生数R_0决定的系统的全局动力学性质:当R_0≤1时,疾病灭绝;当R_01时,疾病持久生存,并且正平衡点是全局吸引的.     

一类具有时滞的随机SIS传染病模型

本文研究一类具有时滞的随机SIS传染病模型,并定性分析种群灭绝和持久的充分条件.获得了阈值R_0,当R_01时,种群灭绝.当R_01时,种群持久.并通过了数值模拟验证了上述理论结果.     

垂直传染与环境因素对野牛布鲁氏菌传播的影响研究

研究了布鲁氏菌通过水平和垂直传染在野牛种群中传播的非线性动态模型.在SIR模型中引入了环境中的布鲁氏菌对野牛的影响,并提出了一种SIRB模型.分别算出了该模型的无病平衡点P_0和地方病平衡点P*,利用再生矩阵得到模型的阈值R_0,证明了模型平衡点的稳定性由阈值的大小所决定,即R_0 1时,通过构造合适的Lyapunov函数,证得无病平衡点全局渐近稳定.当R_0 1时,利用几何方法,证得地方病平衡点全局渐近稳定.     

一类具有非线性发生率与时滞的非局部扩散SIR模型的行波解

该文研究了一类具有非线性发生率与时滞的非局部扩散SIR传染病模型的行波解问题.利用基本再生数R_0和最小波速c~*判定行波解的存在与否.首先,当cc~*,R_01时,通过对一个截断问题使用Schauder不动点定理以及取极限的方法证明了所研究模型的行波解的存在性,其次,当0cc~*,R_01或R_0≤1时,利用双边拉普拉斯变换的性质证明了行波解的不存在性.     

无标度网络上带有时滞的SIRS模型的稳定性分析

建立了一个无标度网络上带有时滞的SIRS模型,并分析了在度不相关情况下模型的动力学性态.当基本再生数R_01时,模型只有无病平衡点,运用Jacobi矩阵和Lyapunov泛函得出无病平衡点的全局稳定性;当R_01时,无病平衡点不稳定,存在唯一地方病平衡点且是持续的.     

一类潜伏期和染病期均具有传染性的手足口病模型

根据手足口病的病理特性及传播特点,建立一类描述其传播的数学模型并对模型的动力学性态进行分析.首先利用再生矩阵的方法定义了模型的基本再生数R_0,同时通过构造Lyapunov函数和Routh-Hurwitz判据证明了当R_0≤1时无病平衡点E_0的金局渐近稳定性,R_0>1时地方病平衡点E_*的局部渐近稳定性,并进一步证明了在一定条件下地方病平衡点的全局渐近稳定性.     

Global results for an HIV/AIDS model with multiple susceptible classes and nonlinear incidence

In this paper, an HIV/AIDS epidemic model is proposed in which there are two susceptible classes. Two types of general nonlinear incidence functions are employed to depict the scenarios of infection among cautious and incautious individuals. Qualitative analyses are performed, in terms of the basic reproduction number $\R_0$, to gain the global dynamics of the model: the disease-free equilibrium is of global asymptotic stability when $\R_0\leq 1$; a unique endemic equilibrium exists and globally asymptotically stable $\R_0> 1$. The introduction of cautious susceptible and the resulting multiple transmission functions has positive effect on HIV/AIDS prevalence. Numerical simulations are carried out to illustrate and extend the obtained analytical results.     

Threshold dynamics in a stochastic SIRS epidemic model with nonlinear incidence rate

We discuss the dynamic of a stochastic Susceptible-Infectious-Recovered-Susceptible (SIRS) epidemic model with nonlinear incidence rate.The crucial threshold $\tilde{R}_0$ is identified and this will determine the extinction and persistence of the epidemic when the noise is small. We also discuss the asymptotic behavior of the stochastic model around the endemic equilibrium of the corresponding deterministic system. When the noise is large, we find that a large noise intensity has the effect of suppressing the epidemic, so that it dies out. Finally, these results are illustrated by computer simulations.     

具有标准发生率和因病死亡率的离散SIS传染病模型的全局稳定性分析

主要研究了具有标准发生率和因病死亡率的离散SIS传染病模型的动力学性质,利用构造Lyapunov函数,得到模型无病平衡点和地方性平衡点的全局稳定性,即无病平衡点是全局渐近稳定的当且仅当基本再生数R_0≤1,地方病平衡点是全局渐近稳定的当且仅当R_0>1.     

The analysis and application of an HBV model

A mathematical model is formulated to describe the spread of hepatitis B. The stability of equilibria and persistence of disease are analyzed. The results shows that the dynamics of the model is completely determined by the basic reproductive number ρ₀. If ρ₀ < 1, the disease-free equilibrium is globally stable. When ρ₀ > 1, the disease-free equilibrium is unstable and the disease is uniformly persistent. Furthermore, under certain conditions, it is proved that the endemic equilibrium is globally attractive. Numerical simulations are conducted to demonstrate our theoretical results. The model is applied to HBV transmission in China. The parameter values of the model are estimated based on available HBV epidemic data in China. The simulation results matches the HBV epidemic data in China approximately.     

PERSISTENCE AND EXTINCTION OF A STOCHASTIC SIS EPIDEMIC MODEL WITH DOUBLE EPIDEMIC HYPOTHESIS

In this paper, we aim at dynamical behaviors of a stochastic SIS epidemic model with double epidemic hypothesis. Sufficient conditions for the extinction and persistence in mean are derived via constructing suitable functions. We obtain a threshold of stochastic SIS epidemic model, which determines how the diseases spread when the white noises are small. Numerical simulations are used to illustrate the efficiency of the main results of this article.     

具有隐性传染的手足口病模型分析

建立并分析了一个带有隐性传染的手足口病模型,计算了基本再生数.构造适当的Lyapunov函数证明了无病平衡点的稳定性,分析了当R_0>1时疾病的一致持续性,并进一步证明了正平衡点的存在性.     

Global Stability for a Dynamic model of Hepatitis B with Antivirus Treatment

An epidemic model on the basis of therapy of chronic Hepatitis B with antivirus treatment was introduced in this paper. By applying a comparison theorem and analyzing the corresponding characteristic equations, we obtain sufficient conditions on the parameters for the global stability of the disease-free state. It's proved that if the basic reproduction number \(R_0 &lt; 1\) , the disease-free equilibrium is globally asymptotically stable. If \(R_0 &gt; 1\), the disease-free equilibrium is unstable and the disease is uniformly permanent. Moreover, if \(R_0 &gt; 1\), sufficient conditions are obtained for the global stability of the endemic equilibrium.     

Epidemic spreading with time delay on complex networks

In this paper, we propose a susceptible-infected-susceptible (SIS) model on complex networks, small-world (WS) networks and scale-free (SF) networks, to study the epidemic spreading behavior with time delay which is added into the infected phase. Considering the uniform delay, the basic reproduction number R ₀ on WS networks and \(\bar R_0\) on SF networks are obtained respectively. On WS networks, if R ₀ ≤ 1, there is a disease-free equilibrium and it is locally asymptotically stable; if R ₀ > 1, there is an epidemic equilibrium and it is locally asymptotically stable. On SF networks, if \(\bar R_0 \leqslant 1\), there is a disease-free equilibrium; if \(\bar R_0 > 1\), there is an epidemic equilibrium. Finally, we carry out simulations to verify the conclusions and analyze the effect of the time delay τ, the effective rate λ, average connectivity 〈k〉 and the minimum connectivity m on the epidemic spreading.     

Spreading and vanishing in a West Nile virus model with expanding fronts

We study a simplified version of a West Nile virus(WNv) model discussed by Lewis et al.(2006),which was considered as a first approximation for the spatial spread of WNv. The basic reproduction number R_0 for the non-spatial epidemic model is defined and a threshold parameter R_0~D for the corresponding problem with null Dirichlet boundary condition is introduced. We consider a free boundary problem with a coupled system, which describes the diffusion of birds by a PDE and the movement of mosquitoes by an ODE. The risk index R_0~F(t) associated with the disease in spatial setting is represented. Sufficient conditions for the WNv to eradicate or to spread are given. The asymptotic behavior of the solution to the system when the spreading occurs is considered. It is shown that the initial number of infected populations, the diffusion rate of birds and the length of initial habitat exhibit important impacts on the vanishing or spreading of the virus. Numerical simulations are presented to illustrate the analytical results.