一类考虑媒体报道影响的传染病模型分析

建立和研究了一类考虑媒体报道影响的传染病传播模型,给出了模型基本再生数R_0的表达式.运用构造Lyapunov函数的方法和Lasalle不变集原理证明当R_01时,无病平衡点全局渐近稳定,此时疾病消亡;当R_01时,在一定条件下证明了地方病平衡点全局渐近稳定,此时疾病形成地方病。     

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.     

一类具有logistic增长的SIR时滞传染病模型的稳定性分析

研究了一类具有logistic增长的时滞SIR传染病模型,得到了决定疾病爆发和消亡的阈值R_0,证明了当R_01时,对于任意的时滞τ,无病平衡点都是全局渐近稳定的,此时疾病消亡;当R_01时,系统会出现一个临界值τ_0,当ττ_0时,地方病平衡点不稳定;当ττ_0,且满足给定的条件时,地方病平衡点局部渐近稳定;当τ=τ_0时,系统发生Hopf分支.通过数值模拟,验证了上述结论的正确性,且做了参数的敏感度分析.     

具有一般发生率的疟疾传播模型的稳定性研究

研究了一类具有一般发生率的疟疾传播模型,得到了模型的平衡点和基本再生数R_0.通过构造Lyapunov函数得到当R_0≤1时,无病平衡点是全局渐近稳定的;当R_01时,正平衡点是全局渐近稳定的.通过例子说明所得的理论结果.     

年龄结构SIQR传染病模型及稳定性

讨论了年龄结构SIQR传染病模型,得出基本再生数R_0和接种再生数R(ψ)的表达式,证明了当R(ψ)1时,无病平衡点局部渐近稳定;当R_01时,无病平衡点全局渐近稳定;当R(ψ)1时,无病平衡点不稳定,此时存在唯一的地方病平衡点,并给出了地方病平衡点的局部渐近稳定性条件,这些条件对于控制疾病的传播具有重要的理论及实际意义,同时用再生数的表达式进一步解释了接种和隔离治疗在控制消除传染病中的作用.     

一种梅毒模型的稳定性分析

根据人类感染梅毒的方式建立了一种新的数学模型,整个人口被分成四个组:注射吸毒者,女性性工作者,性工作者的客人以及MSM人群.通过对模型的研究和分析得到了模型的基本再生数R_0,还进一步研究了平衡点的存在性和稳定性,当R_01时,无病平衡点是全局渐近稳定的,疾病将会被消除;当R_0 1时,疾病是一致持续的而且给出了地方病平衡点全局渐近稳定的充分性条件,疾病将持续流行.     

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.     

一类非线性SEIR传染病模型的全局稳定性

研究了一类具有一般形式非线性发生率g(S)h(I)的SEIR传染病模型.利用Liapunov函数方法,证明了当R_0≤1时,无病平衡点P_0在G内全局渐近稳定,疾病最终消失.利用周期轨道稳定性和Poincare-Bendixson性质理论,证明了当R_01时,地方病平衡点P~*在G的内部全局渐近稳定,疾病流行形成地方病.     

一类具有离散时滞的多菌株媒介传染病模型的竞争排斥北大核心CSCD

本文建立和研究了一类具有离散时滞的多菌株媒介传染病模型.证明了当基本再生数R_0<1时,无病平衡点是全局渐近稳定的.证明了与具有最大基本再生数对应的菌株占优平衡点是局部渐近稳定的.在一定条件下,证明了菌株i占优平衡点的全局稳定性的,此时竞争排斥原理成立.     

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.     

具有垂直传染的SEIA传染病模型的稳定性

建立和研究一类具有垂直传染的SEIA传染病模型,得到模型基本再生数R₀的表达式,运用Lyapunov函数和第二加性复合矩阵理论证明了当R₀〈1时无病平衡点全局渐近稳定,当R₀〉1时地方病平衡点全局渐近稳定.     

一类有迁移的SIS流行病模型

研究一类种群有迁移的流行病模型,得到了这类模型的基本再生数R0,证明了R0＜1无病平衡点是局部渐近稳定的,而当R0＞1时无病平衡点是不稳定的.进一步讨论了疾病持续存在与无病平衡点和地方病平衡点全局稳定的条件.     

染病者有常数输入的传染病模型

讨论在隔离措施下易感者和染病者都有常数移民的传染病模型.给出了模型的地方病平衡点,证明了地方病平衡点的稳定性.     

Two-group SIR epidemic model with stochastic perturbation

A stochastic two-group SIR model is presented in this paper.The existence and uniqueness of its nonnegative solution is obtained,and the solution belongs to a positively invariant set.Furthermore,the globally asymptotical stability of the disease-free equilibrium is deduced by the stochastic Lyapunov functional method if R0 ≤ 1,which means the disease will die out.While if R0 1,we show that the solution is fluctuating around a point which is the endemic equilibrium of the deterministic model in time average.In addition,the intensity of the fluctuation is proportional to the intensity of the white noise.When the white noise is small,we consider the disease will prevail.At last,we illustrate the dynamic behavior of the model and their approximations via a range of numerical experiments.     

一类具有感染年龄SIRS模型的分析

根据乙肝的传播特点,通过假设感染率依赖于个体的生理年龄及感染年龄.接种免疫有一定的有效期,建立了具有生理年龄和感染年龄的模型,并研究了地方病平衡点的存在条件.     

Epidemiological models with quadratic equation for endemic equilibria—A bifurcation atlas

The existence and occurrence, especially by a backward bifurcation, of endemic equilibria is of utmost importance in determining the spread and persistence of a disease. In many epidemiological models, the equation for the endemic equilibria is quadratic, with the coefficients determined by the parameters of the model. Despite its apparent simplicity, such an equation can describe an amazing number of dynamical behaviors. In this paper, we shall provide a comprehensive survey of possible bifurcation patterns, deriving explicit conditions on the equation's parameters for the occurrence of each of them, and discuss illustrative examples.     

The effect of population dispersal on the spread of a disease

The effect of population dispersal among n patches on the spread of a disease is investigated. Population dispersal does not destroy the uniqueness of a disease free equilibrium and its attractivity when the basic reproduction number of a disease R₀<1. When R₀>1, the uniqueness and global attractivity of the endemic equilibrium can be obtained if dispersal rates of susceptible individuals and infective individuals are the same or very close in each patch. However, numerical calculations show that population dispersal may result in multiple endemic equilibria and even multi-stable equilibria among patches, and also may result in the extinction of a disease, even though it cannot be eradicated in each isolated patch, provided the basic reproduction numbers of isolated patches are not very large.     

一类具有常恢复率且总人口变化的SEIS传染病模型的稳定性

This paper considers an SEIS epidemic model with infectious force in the latent period and a general population-size dependent contact rate.A threshold parameter R is identified.If R≤1,the disease-free equilibrium O is globally stable.IfR>1,there is a unique endemic equilibrium and O is unstable.For two important special cases of bilinear and standard incidence,sufficient conditions for the global stability of this endemic equilibrium are given.The same qualitative results are obtained provided the threshold is more than unity for the corresponding SEIS model with no infectious force in the latent period.Some existing results are extended and improved.     

Hopf bifurcation of nonlinear incidence rates SIR epidemiological models with stage structure

1 ModelsIn standard epidethelogical modeis (ase [ll) the incidence rate (the rate of new infections)is bilinear in the infecire frartion and the susceptible fraction. There are a variet}' of reasonsthat the standard bilinear fOrm may reqfore modification (see [2. 3]). On the other hand, thereare some kinds of diseases which only spread or have more opportunities to be spread in adults(such as gollorrhea. s}philis. etc.). Consequently, realistic anaI\.sis of disease transmissiun in apopulation…     

具脉冲预防接种的SIRS传染病模型中地方病周期解的存在性

对具脉冲预防接种的SIRS传染病模型进行分析,利用分支理论得到了系统中地方病周期解的存在性,并利用数值模拟的方法验证了所得结论的正确性,完善了对该系统的讨论结果