具有急慢性阶段的MSIS流行病模型阈值和稳定性结果

系统研究了具有急性和慢性两个阶段的MSIS流行病模型.由两节构成,第1节建立和研究了具有急慢性阶段的MSIS流行病模型;第2节在第1节的基础上建立和研究了具有慢性病病程的MSIS流行病模型.第1节的模型是四个常微分方程构成的方程组.第2节的模型既含有常微分方程,又含有偏微分方程.运用微分方程和积分方程中的理论和方法,得到了这两个模型再生数R0的表达式.证明了当R0<1时,无病平衡态是全局渐近稳定性,给出了各模型地方病平衡态的存在性和稳定性条件.     

一类具有两阶段结构的自治SIS传染病系统

讨论了具有两阶段结构的自治SIS传染病系统,证明了该系统的边界平衡态和正平衡态的全局渐近稳定性,得到了使其渐近稳定的阈值.     

使用T-20治疗HIV-1患者的不同策略的数学建模与研究

通过建立数学模型,描述了HIV-1感染者使用抗病毒治疗药物——融合酶抑制剂(T-20)的治疗效果．使用脉冲微分方程描述了T-20的使用过程,并考虑了两种不同的药物消除动力学:一级消除动力学与米-曼(Michaelis-Menten)消除动力学．此模型是个非自治微分方程系统,主要关注其无病平衡态,并研究当接受治疗者在服药完全依从的治疗过程中无病平衡态的稳定性．分别针对药物剂量与服药间隔得到了使得无病平衡态稳定的阈值条件．此外,还研究了间歇治疗的效果．研究表明,间歇治疗的效果甚至可以比完全不治疗还要糟糕．     

一类SARS流行病动力系统的研究

建立了一类描述SARS流行病的常微分方程模型,利用常微分方程动力系统的理论,研究了我们所建立的模型,给出了该系统的奇点及奇点的类型,并作出了相图.我们得到的一个主要结论是:在SARS的控制中,政府行为是最重要的因素.     

具脉冲两阶段结构的自治SIS传染病模型

讨论了具有脉冲两阶段结构的自治SIS传染病模型,得到了该模型无病周期解存在性和稳定性的充分条件,并利用分支理论研究了正周期解的存在性.     

一阶常微分方程比较定理的细化与改进

细化与改进一阶常微分方程的第一比较定理及第二比较定理.即先分别讨论在初值时刻的左右区间内,建立函数f(t,x)与F(t,x)的大小关系,由此关系得到相应的两个微分方程的解的大小关系;其次,改进一阶微分方程的第一比较定理及第二比较定理,减弱条件并加强结论.     

一类二阶脉冲线性非振动微分方程解的渐近性态

研究了一类二阶线性非振动脉冲微分方程(a(t)x′)′=p(t)x ∑n=1^∞anδ(t-tn)x解的有界性和趋零性,其中a(t)为正的连续可微函数,p(t)为非负连续函数,且不最终恒为零,an≥0(n∈N),δ(t)是δ-函数．充分考虑脉冲的影响,通过建立脉冲微分方程与相应的常微分方程解的比较不等式,得到了判断脉冲微分方程解有界和趋零的充要条件。     

一类SARS流行病模型的改进及分析

为进一步研究政府行为在SARS流行病控制中的作用,对我们建立的SARS流行病模型进行了改进.利用常微分方程动力系统的理论,研究了改进的模型,给出了奇点及奇点的类型,并作出了相图.得到的结论进一步表明:在SARS的控制中,政府行为是最重要的因素.     

一类含时滞SIS流行病模型的全局稳定性

该文研究了一类含有限分布时滞的SIS流行病模型, 利用李亚普诺夫泛函的方法,得到了地方病平衡点和无病平衡点全局稳定的充要条件. 揭示了时滞对平衡点稳定性的影响 .      

具有垂直传染的年龄结构SEIR流行病模型的稳定性

本文讨论了一类具有垂直传染的年龄结构SEIR 流行病模型,运用有界线性算子半群理论证明了模型本身非负解的存在唯一性.运用微分方程及积分方程中的理论和方法, 研究了该模型平衡点的稳定性,得到了无病平衡点与地方病平衡点的稳定性条件.     

Qualitative analysis on a diffusive SIS epidemic system with logistic source and spontaneous infection in a heterogeneous environment

In this paper, we consider an SIS epidemic reaction–diffusion model with spontaneous infection and logistic source in a heterogeneous environment. The uniform bounds of solutions are established, and the global asymptotic stability of the constant endemic equilibrium is discussed in the case of homogeneous environment. This paper aims to analyze the asymptotic profile of endemic equilibria (when it exists) as the diffusion rate of the susceptible or infected population is small or large. Our results on this new model reveal that varying total population and spontaneous infection can enhance persistence of infectious disease, which may provide some implications on disease control and prediction.     

Epidemics in two competing species

An SIS epidemic model in two competing species with the mass action incidence is formulated and analysed. Thresholds for the existence of boundary equilibria are identified and conditions for their local asymptotic stability or instability are found. By persistence theory, conditions for the persistence of either hosts or pathogens are proved. Using Hopf bifurcation theory and numerical simulations, some aspects of the complicated dynamic behaviours of the model are shown: the system may have zero up to three internal equilibria, may have a stable limit cycle, may have three stable attractors. Through the results on persistence and stability of the boundary equilibria, some important interactions between infection and competition are revealed: (1) a species that would become extinct without the infection, may persist in presence of the infection; (2) a species that would coexist with its competitor without the infection, is driven to extinction by the infection; (3) an infection that would die out in either species without the interinfection of disease, may persist in both species in presence of this factor.     

一类具有标准发生率的SIS传染病模型的全局稳定性

研究一类具有标准发生率的SIS传染病模型.应用微分方程定性理论,分别给出了保证该系统地方病平衡点、无病平衡点和总人口消亡平衡点全局渐近稳定的充分条件.     

一类具有非线性传染力的阶段结构SI模型

讨论了一类具有非线性传染力的阶段结构 SI传染病模型 ,确定了各类平衡点存在的阈值条件 ,得到了各类平衡点局部稳定和全局稳定的条件 .     

Dynamics Analysis of an SIS Epidemic Model with the Effects of Awareness

In this paper, an SIS model incorporating the effects of awareness spreading on epidemic is analyzed. Four kinds of equilibria of the model are given, and a new method is used to prove the stability of the equilibria. The threshold of awareness is $R_{1}^{a}$, which measures whether awareness spreads. When awareness does not spread, the basic reproduction number of disease is $R_{1}^{d}$, it is $R_{2}^{d}$ when awareness spreads. The relationship among the three kinds of thresholds is discussed in details. Specially, the effects of various awareness parameters on epidemic are analyzed. Our theoretical results suggest that raising awareness can effectively reduce the basic reproduction number of disease and reduce the spread of disease. Furthermore, numerical simulations are performed to illustrate our results.     

Stability analysis for differential infectivity epidemic models

We present several differential infectivity (DI) epidemic models under different assumptions. As the number of contacts is assumed to be constant or a linear function of the total population size, either standard or bilinear incidence of infection is resulted. We establish global stability of the infection-free equilibrium and the endemic equilibrium for DI models of SIR (susceptible/infected/removed) type with bilinear incidence and standard incidence but no disease-induced death, respectively. We also obtain global stability of the two equilibria for a DI SIS (susceptible/infected/susceptible) model with population-density-dependent birth and death functions. For completeness, we extend the stability of the infection-free equilibrium for the standard DI SIR model previously proposed.     

具有重复感染和染病年龄结构的两菌株SIJR流行病模型分析

建立和研究了具有染病年龄结构和重复感染的两菌株SIJR流行病模型,得到了与两菌株相对应的基本再生数的表达式,给出了无病平衡点,各菌株占优平衡点以及共存平衡点的存在性和稳定性条件.最后详细讨论了该模型的特殊情形-重复感染率为常数的情形.     

A note on the global behaviour of the network-based SIS epidemic model

In this note we introduce the study of the global behaviour of the network-based SIS epidemic model recently proposed by Pastor-Satorras and Vespignani [Epidemic spreading in scale-free networks, Phys. Rev. Lett. 86 (2001) 3200], characterized in case of homogeneous scale-free networks by a very small epidemic threshold, and extended by Olinky and Stone [Unexpected epidemic threshold in heterogeneous networks: the role of disease transmission, Phys. Rev. E 70 (2004) 03902(r)]. We show that the above model may be read as a particular case of the classical multi-group SIS model proposed by Lajmainovitch and Yorke [A deterministic model for gonorrhea in a nonhomogeneous population, Math. Biosci. 28 (1976) 221] and extended by Aronsson and Mellander [A deterministic model in biomathematics. Asymptotic behaviour and threshold conditions, Math. Biosci. 49 (1980) 207]. Thus, by applying the methods used for SIS multi-group models, we straightforwardly show, for the first time, that the local conditions identified in the physics literature also determine the global behaviour of a disease spreading on a network. Finally, we briefly study the case in which the force of infection is non-linear, by showing that multiple coexisting equilibria are possible, and by giving a global threshold condition for the extinction.