scholarly journals Threshold dynamics of a general delayed within-host viral infection model with humoral immunity and two modes of virus transmission

2017 ◽  
Vol 22 (11) ◽  
pp. 0-0
Author(s):  
Zhikun She ◽  
◽  
Xin Jiang ◽  
Keyword(s):  
Viral Infection ◽  
Humoral Immunity ◽  
Virus Transmission ◽  
Infection Model ◽  
Threshold Dynamics ◽  
Viral Infection Model

scholarly journals A Fractional Order Model for Viral Infection with Cure of Infected Cells and Humoral Immunity

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Adnane Boukhouima ◽  
Khalid Hattaf ◽  
Noura Yousfi
Keyword(s):  
Viral Infection ◽  
Humoral Immunity ◽  
Host Cells ◽  
Infection Model ◽  
Order Model ◽  
Fractional Order Model ◽  
Infected Cells ◽  
Fractional Differential ◽  
Well Posed ◽  
Viral Infection Model

In this paper, we study the dynamics of a viral infection model formulated by five fractional differential equations (FDEs) to describe the interactions between host cells, virus, and humoral immunity presented by antibodies. The infection transmission process is modeled by Hattaf-Yousfi functional response which covers several forms of incidence rate existing in the literature. We first show that the model is mathematically and biologically well-posed. By constructing suitable Lyapunov functionals, the global stability of equilibria is established and characterized by two threshold parameters. Finally, some numerical simulations are presented to illustrate our theoretical analysis.

Dynamical behaviors of a general humoral immunity viral infection model with distributed invasion and production

2017 ◽  
Vol 10 (03) ◽  
pp. 1750035 ◽  
Author(s):  
A. M. Ełaiw ◽  
N. H. AlShamrani ◽  
K. Hattaf
Keyword(s):  
Viral Infection ◽  
Humoral Immunity ◽  
Lyapunov Functions ◽  
Dynamical Behavior ◽  
Infection Model ◽  
Global Dynamics ◽  
Nonlinear Mathematical Model ◽  
Dynamical Behaviors ◽  
Number Formula ◽  
Viral Infection Model

A general nonlinear mathematical model for the viral infection with humoral immunity and two distributed delays is proposed and analyzed. Two bifurcation parameters, the basic reproduction number, [Formula: see text] and the humoral immunity number, [Formula: see text] are derived. We established a set of conditions on the general functions which are sufficient to determine the global dynamics of the model. Utilizing Lyapunov functions and LaSalle’s invariance principle, the global asymptotic stability of all equilibria of the model is obtained. An example is presented and some numerical simulations are conducted in order to illustrate the dynamical behavior.

scholarly journals Threshold Dynamics and Competitive Exclusion in a Virus Infection Model with General Incidence Function and Density-Dependent Diffusion

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Xiaosong Tang ◽  
Zhiwei Wang ◽  
Jianping Yang
Keyword(s):  
Viral Infection ◽  
Competitive Exclusion ◽  
Neumann Boundary ◽  
Infection Model ◽  
Threshold Dynamics ◽  
Single Strain ◽  
Density Dependent ◽  
Incidence Function ◽  
Infection Models ◽  
Viral Infection Model

In this paper, we investigate single-strain and multistrain viral infection models with general incidence function and density-dependent diffusion subject to the homogeneous Neumann boundary conditions. For the single-strain viral infection model, by using the linearization method and constructing appropriate Lyapunov functionals, we obtain that the global threshold dynamics of the model is determined by the reproductive numbers for viral infection ℛ0. For the multistrain viral infection model, we have discussed the competitive exclusion problem. If the reproduction number ℛi for strain i is maximal and larger than one, the steady state Ei corresponding to the strain i is globally stable. Thus, competitive exclusion happens and all other strains die out except strain i. Meanwhile, we can prove that the single-strain and multistrain viral infection models are well posed. Furthermore, numerical simulations are also carried out to illustrate the theoretical results, which is seldom seen in the relevant known literatures.

A delayed reaction–diffusion viral infection model with nonlinear incidences and cell-to-cell transmission

2021 ◽  
Author(s):  
Qing Ge ◽  
Xia Wang ◽  
Libin Rong
Keyword(s):  
Viral Infection ◽  
Traveling Wave Solutions ◽  
Neumann Boundary ◽  
Reaction Diffusion ◽  
Infection Model ◽  
Threshold Dynamics ◽  
Delayed Reaction ◽  
Homogeneous Neumann Boundary Condition ◽  
Cell Transmission ◽  
Viral Infection Model

In this paper, we propose a reaction–diffusion viral infection model with nonlinear incidences, cell-to-cell transmission, and a time delay. We impose the homogeneous Neumann boundary condition. For the case where the domain is bounded, we first study the well-posedness. Then we analyze the local stability of homogeneous steady states. We establish a threshold dynamics which is completely characterized by the basic reproduction number. For the case where the domain is the whole Euclidean space, we consider the existence of traveling wave solutions by using the cross-iteration method and Schauder’s fixed point theorem. Finally, we study how the speed of spread in space affects the spread of cells and viruses. We obtain the existence of the wave speed, which is dependent on the diffusion coefficient.

scholarly journals Stability Analysis for Viral Infection Model with Multitarget Cells, Beddington-DeAngelis Functional Response, and Humoral Immunity

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Xinxin Tian ◽  
Jinliang Wang
Keyword(s):  
Immune Response ◽  
Viral Infection ◽  
Incidence Rate ◽  
Functional Response ◽  
Humoral Immunity ◽  
Infection Model ◽  
Target Cells ◽  
Asymptotically Stable ◽  
Globally Asymptotically Stable ◽  
Viral Infection Model

We formulate a (2n+2)-dimensional viral infection model with humoral immunity,nclasses of uninfected target cells and  nclasses of infected cells. The incidence rate of infection is given by nonlinear incidence rate, Beddington-DeAngelis functional response. The model admits discrete time delays describing the time needed for infection of uninfected target cells and virus replication. By constructing suitable Lyapunov functionals, we establish that the global dynamics are determined by two sharp threshold parameters:R0andR1. Namely, a typical two-threshold scenario is shown. IfR0≤1, the infection-free equilibriumP0is globally asymptotically stable, and the viruses are cleared. IfR1≤1<R0, the immune-free equilibriumP1is globally asymptotically stable, and the infection becomes chronic but with no persistent antibody immune response. IfR1>1, the endemic equilibriumP2is globally asymptotically stable, and the infection is chronic with persistent antibody immune response.

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