构建一类具有VCT(voluntary counseling and testing)意识及媒体报道影响的HIV/AIDS感染动力学模型.首先得到模型解的适定性,并给出模型的基本再生数.其次,借助Hurwitz判别法及Lyapunov函数分析模型的阈值动力学,当R_(0)<1时无病平...构建一类具有VCT(voluntary counseling and testing)意识及媒体报道影响的HIV/AIDS感染动力学模型.首先得到模型解的适定性,并给出模型的基本再生数.其次,借助Hurwitz判别法及Lyapunov函数分析模型的阈值动力学,当R_(0)<1时无病平衡点局部渐近稳定且当R_(0)≤1时全局渐近稳定;当R_(0)>1时,地方病平衡点局部渐近稳定.进一步,结合持续生存理论给出疾病的一致持续性.最后,数值模拟表明随着VCT意识比例的提高,艾滋病患者人数的峰值逐渐降低,而随着信息失效率的增大,艾滋病患者人数的峰值将有所提高.展开更多
In this paper, an HIV-1 infection model with absorption, saturation infection and an intracellular delay accounting for the time between viral entry into a target cell and the production of new virus particles is inve...In this paper, an HIV-1 infection model with absorption, saturation infection and an intracellular delay accounting for the time between viral entry into a target cell and the production of new virus particles is investigated. By analyzing the characteristic equations, the local stability of an infection-free equilibrium and a chronic-infection equilibrium of the model is established. By using suitable Lyapunov functionals and LaSalle＇s invariance principle, it is proved that if the basic reproduction ratio is less than unity, the infection-free equilibrium is globally asymptotically stable; and if the basic reproduction ratio is greater than unity, sufficient condition is derived for the global stability of the chronic-infection equilibrium.展开更多
Infection of human immunodeficiency virus （HIV） is determined through the decay of healthy CD44- T-cells in a well-mixed compartment, such as a bloodstream. A mathe- matical model is considered to illustrate the eff...Infection of human immunodeficiency virus （HIV） is determined through the decay of healthy CD44- T-cells in a well-mixed compartment, such as a bloodstream. A mathe- matical model is considered to illustrate the effects of combined drug therapy, i.e. reverse transcription plus protease inhibitor, on viral growth and T-cell population dynamics. This model is used to explain the existence and stability of infected and uninfected steady states in HIV growth. An analytical technique, called variational iteration method （VIM）, is used to solve the mathematical model. This method is modified to obtain the rapidly convergent successive approximations of the exact solution. These approximations are obtained without any restrictions or the transformations that may change the physical behavior of the problem. Numerical simulations are computed and exhibited to illustrate the effects of proposed drug therapy on the growth or decay of infection.展开更多
文摘构建一类具有VCT(voluntary counseling and testing)意识及媒体报道影响的HIV/AIDS感染动力学模型.首先得到模型解的适定性,并给出模型的基本再生数.其次,借助Hurwitz判别法及Lyapunov函数分析模型的阈值动力学,当R_(0)<1时无病平衡点局部渐近稳定且当R_(0)≤1时全局渐近稳定;当R_(0)>1时,地方病平衡点局部渐近稳定.进一步,结合持续生存理论给出疾病的一致持续性.最后,数值模拟表明随着VCT意识比例的提高,艾滋病患者人数的峰值逐渐降低,而随着信息失效率的增大,艾滋病患者人数的峰值将有所提高.
文摘In this paper, an HIV-1 infection model with absorption, saturation infection and an intracellular delay accounting for the time between viral entry into a target cell and the production of new virus particles is investigated. By analyzing the characteristic equations, the local stability of an infection-free equilibrium and a chronic-infection equilibrium of the model is established. By using suitable Lyapunov functionals and LaSalle＇s invariance principle, it is proved that if the basic reproduction ratio is less than unity, the infection-free equilibrium is globally asymptotically stable; and if the basic reproduction ratio is greater than unity, sufficient condition is derived for the global stability of the chronic-infection equilibrium.
文摘Infection of human immunodeficiency virus （HIV） is determined through the decay of healthy CD44- T-cells in a well-mixed compartment, such as a bloodstream. A mathe- matical model is considered to illustrate the effects of combined drug therapy, i.e. reverse transcription plus protease inhibitor, on viral growth and T-cell population dynamics. This model is used to explain the existence and stability of infected and uninfected steady states in HIV growth. An analytical technique, called variational iteration method （VIM）, is used to solve the mathematical model. This method is modified to obtain the rapidly convergent successive approximations of the exact solution. These approximations are obtained without any restrictions or the transformations that may change the physical behavior of the problem. Numerical simulations are computed and exhibited to illustrate the effects of proposed drug therapy on the growth or decay of infection.
