具有一般接触率和治疗的SIS传染病模型的后向分支

建立了具有一般传染率函数和治疗的SIS模型并分析了其动力学性态.通过分析得到,当基本再生数小于1时,系统存在无病平衡点,并且无病平衡点是局部渐近稳定的,当染病者数量较少,发现系统在基本再生数大于1时,系统存在惟一的正平衡点且是局部渐近稳定的;当染病者数量超过医院的最大承受能力时,当基本再生数小于1时,系统可能存在两个正平衡点或无正平衡点.当存在两个正平衡点时,其中染病者数量较小的是鞍点,染病者数量较大的为结点或焦点,且是局部渐近稳定的.当治疗能力较弱时,模型会出现后向分支.     

一类具有心理效应的SIRS模型的全局分析

建立并研究了考虑心理效应影响的非单调感染强度函数的SIRS模型.通过分析,发现当基本再生数R_0 1,无病平衡点是全局渐近稳定的;当R_01时,系统存在惟一的正平衡点,且通过构造D ul ac函数证明了正平衡点只要存在就是全局渐近稳定的.这与Cui等研究的具有相同发生率函数的SEIS模型得到的结果完全不同.因此,不同的传染病有不同的传染机制,只有寻找控制传染病最为关键的因素,才能更有效的灭绝疾病.     

宿主具有垂直传染的查加斯病模型的建立与分析

查加斯病是由克氏锥虫寄生引起的,其传播媒介为锥蝽.带有病原体的锥蝽叮咬健康人是其主要的传播途径,本病也可以通过输血、母婴进行传播.建立了宿主具有垂直传染、不同的传染源采用不同传染率的查加斯病模型并进行了动力学性态分析.通过分析,给出了基本再生数R_0;当垂直传染率p=0时,若R_0<1,系统仅存在无病平衡点且局部渐近稳定,意味着疾病消亡;当R_0>1时,系统存在一个正平衡点且局部渐近稳定;当0相似文献   

有Logistic增长的媒介传播模型分析

建立了贮存宿主鸟类与传染宿主蚊子都具有Logistic增长的西尼罗河病毒传播模型,获得了基本再生数R_0.当R_0<1时,通过构造Lyapunov函数,证明了无病平衡点的全局渐近稳定性.当R_0>1,且满足不同条件时,得到了正平衡点的存在性,数值模拟验证了理论结果的正确性.     

医院内媒介交叉感染的数学建模及稳定性分析

结合医院内媒介交叉感染的实际问题,建立了医院内以医生和护士为传染媒介引起的抗生素耐药性交叉感染模型,得到了控制疾病流行与否的阈值R_0,分析了阈值条件下无病平衡点和正平衡点的稳定性等动力学性态,得到了R_01时无病平衡点是全局稳定的,且医院携带耐药菌的医护人员和病人数都为零,不会发生交叉感染,R_01时有且仅有一个正平衡点E*,且全局稳定,医院内抗生素耐药性的交叉感染将趋于平稳流行.     

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.     

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.     

考虑医院病床数的SIR模型的分支分析

建立了具有标准发生率且考虑医院病床数的SIR模型,并对其性态进行了分析.通过分析,发现R_0不再是疾病流行的阈值,并且当医院的病床数小到一定值时模型就会出现后向分支和鞍结点分支.通过数值模拟可以看出当病床数b减少时,模型会呈现出一系列复杂的动力学性态,如:Hopf分支,BT分支和同宿轨分支.通过对模型的研究与分析可以看出医院的病床数是一个极其重要的因素,当R01时,通过增加医院的病床数是可以消灭疾病的;当R_01时通过增加病床数可以使得疾病得到控制不会出现一些复杂的发展趋势.     

带有非线性传染率的传染病模型

对一类带有非线性传染率的SEIS传染病模型,找到了其基本再生数.借助动力系统极限理论,得到当基本再生数小于1时,无病平衡点是全局渐近稳定的,且疾病最终灭绝.当基本再生数大于1时,无病平衡点是不稳定的,而唯一的地方病平衡点是局部渐近稳定的.应用Fonda定理,得到当基本再生数大于1时疾病一致持续存在.     

一类具有非线性发生率的传染病模型的稳定性

建立和研究一类具有非线性发生率的传染病模型,得到该模型基本再生数R_0的表达式,运用Lyapunov函数和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,此时疾病消失,当R_0>1时地方病平衡点全局渐近稳定,此时疾病在人群中流行.     

Backward bifurcation of an epidemic model with saturated treatment function

An epidemic model with saturated incidence rate and saturated treatment function is studied. Here the treatment function adopts a continuous and differentiable function which can describe the effect of delayed treatment when the number of infected individuals is getting larger and the medical condition is limited. The global dynamics of the model indicate that the basic reproduction number being the unity is a strict threshold for disease eradication when such effect is weak. However, it is shown that a backward bifurcation will take place when this delayed effect for treatment is strong. Therefore, driving the basic reproduction number below the unity is not enough to eradicate the disease. And a critical value at the turning point is deduced as a new threshold. Some sufficient conditions for the disease-free equilibrium and the endemic equilibrium being globally asymptotically stable are also obtained. Mathematical results in this paper suggest that giving the patients timely treatment, improving the cure efficiency and decreasing the infective coefficient are all valid methods for the control of disease.     

Mathematical Modeling and Analysis of an Epidemic Model with Quarantine, Latent and Media Coverage

Epidemic models are very important in today''s analysis of diseases. In this paper, we propose and analyze an epidemic model incorporating quarantine, latent, media coverage and time delay. We analyze the local stability of either the disease-free and endemic equilibrium in terms of the basic reproduction number $\mathcal{R}_{0}$ as a threshold parameter. We prove that if $\mathcal{R}_{0}<1,$ the time delay in media coverage can not affect the stability of the disease-free equilibrium and if $\mathcal{R}_{0}>1$, the model has at least one positive endemic equilibrium, the stability will be affected by the time delay and some conditions for Hopf bifurcation around infected equilibrium to occur are obtained by using the time delay as a bifurcation parameter. We illustrate our results by some numerical simulations such that we show that a proper application of quarantine plays a critical role in the clearance of the disease, and therefore a direct contact between people plays a critical role in the transmission of the disease.     

On the Bifurcations and Multiple Endemic States of a Single Strain HIV Model Dedicated to Professor Toshikazu Sunada on the Occasion of his 60th Birthday

The dynamics of a single strain HIV model is studied.The basic reproduction number R_0 used as a bifurcation parameter shows that the system undergoes transcritical and saddle-node bifurcations.The usual threshold unit value of R_0 does not completely determine the eradication of the disease in an HIV infected person.In particular,a sub-threshold value R_C is established which determines the system's number of endemic states:multiple if R_c Ro 1,only one if R_C = R_0 = 1,and none if R_0 R_C 1.     

The effect of vaccines on backward bifurcation in a fractional order HIV model

In this paper, a homogeneous-mixing population fractional model for human immunodeficiency virus (HIV) transmission, which incorporates anti-HIV preventive vaccines, is proposed. The dynamics of the model indicate that the basic reproduction number being the unity is a strict threshold for disease eradication when there is no vaccine. However, it has been shown that when the efficacy or dosage of vaccines is low, the model exhibits the phenomenon of backward bifurcation, where a stable disease-free equilibrium point (DFE) coexists with a stable endemic equilibrium point (EE) when the associated reproduction number is less than unity. Therefore, driving the basic reproduction number below the unity is not enough to eradicate the disease. A new critical value at the turning point should be deduced as a new threshold of disease eradication. We have generalized the integer LaSalle invariant set theorem into fractional system and given some sufficient conditions for the disease-free equilibrium point being globally asymptotical stability. Mathematical results in this paper suggest that improving the efficiency and dosage of vaccines are all valid methods for the control of disease.     

Global stability of epidemiological models with group mixing and nonlinear incidence rates

For a multigroup SEIR epidemiological model with nonlinear incidence rates, the basic reproduction number is identified. It is shown that, under certain group mixing patterns and nonlinearity and/or nonsmoothness in the incidence of infection, the basic reproduction number is a global threshold parameter in the sense that the disease free equilibrium is globally stable if the basic reproduction number is less than one and the endemic equilibrium is globally stable if the basic reproduction number is greater than one.     

Global stability of multigroup epidemic model with group mixing and nonlinear incidence rates

In this paper, we introduce a basic reproduction number for a multigroup SEIR model with nonlinear incidence of infection and nonlinear removal functions between compartments. Then, we establish that global dynamics are completely determined by the basic reproduction number R₀. It shows that, the basic reproduction number R₀ is a global threshold parameter in the sense that if it is less than or equal to one, the disease free equilibrium is globally stable and the disease dies out; whereas if it is larger than one, there is a unique endemic equilibrium which is globally stable and thus the disease persists in the population. Finally, two numerical examples are also included to illustrate the effectiveness of the proposed result.     

一类带有非线性传染率的SEIS传染病模型的定性分析

借助极限理论和Fonda定理,研究了一类既有常数输入率又有因病死亡率的SEIS传染病模型．所考虑模型的传染率是非线性的,并且得到了该模型的基本再生数,当基本再生数小于1时,该模型仅存在唯一的无病平衡点,它是全局渐近稳定的,且疾病最终灭绝．当基本再生数大于1时,该模型除存在不稳定的无病平衡点外,还存在唯一的局部渐近稳定的地方病平衡点,并且疾病一致持续存在．     

Modelling and stability of epidemic model with free-living pathogens growing in the environment

To understand the impact of free-living pathogens (FLP) on the epidemics, an epidemic model with FLP is constructed. The global dynamics of our model are determined by the basic reproduction number $R_0$. If $R_0<1$, the disease free equilibrium is globally asymptotically stable, and if $R_0>1$, the endemic equilibrium is globally asymptotically stable. Some numerical simulations are also carried out to illustrate our analytical results.     

Global dynamics of a Cholera model with age-of-immunity structure and reinfection

To understand V.Cholera transmission dynamics, in this paper, a mathematical model for the dynamics of cholera with reinfection is formulated that incorporates the duration time of the recovery individuals (age-of-immunity). The basic reproduction number $\Re_0$ for the model is identified and the threshold property of $\Re_0$ is established. By applying the persistence theory for infinite-dimensional systems, we show that the disease is uniformly persistent if the reproductive number $ \Re_0>1$. By constructing a suitable Lyapunov function, the global stability of the infection-free equilibrium in the system is obtained for $\Re_0<1$; the unique endemic equilibrium of the system is globally asymptotically stable for $\Re_0>1$.     

一类具有分布时滞和非线性发生率的媒介传染病模型的全局稳定性

建立了一类具有分布时滞和非线性发生率的SIR媒介传染病模型,分析得到了决定疾病是否一致持续存在的基本再生数．而且当基本再生数不大于1时,疾病最终灭绝;当基本再生数大于1时,模型存在惟一的地方病平衡点,并且疾病一致持续存在于种群之中．通过构造Lyapunov泛函,证明了在一定条件下地方病平衡点只要存在就全局稳定．同时指出了证明地方病平衡点全局稳定时可适用的Lyapunov泛函的不惟一性.