Stability of a general adaptive immunity virus dynamics model with multistages of infected cells and two routes of infection

This paper studies an (n+4)‐dimensional nonlinear virus dynamics model that characterizes the interactions of the viruses, susceptible host cells, n‐stages of infected cells, B cells and cytotoxic T lymphocyte (CTL) cells. Both viral and cellular infections have been incorporated into the model. The...

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Bibliographic Details
Published in:Mathematical methods in the applied sciences 2020-02, Vol.43 (3), p.1145-1175
Main Authors: Elaiw, Ahmed, AlShamrani, Noura
Format: Article
Language:English
Subjects:
adaptive immune response
Computer simulation
Dynamic stability
Economic models
global stability
Liapunov functions
Lyapunov function
Lymphocytes
Mathematical models
multistaged infected cells
Nonlinear dynamics
viral and cellular infections
Viruses
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Summary:This paper studies an (n+4)‐dimensional nonlinear virus dynamics model that characterizes the interactions of the viruses, susceptible host cells, n‐stages of infected cells, B cells and cytotoxic T lymphocyte (CTL) cells. Both viral and cellular infections have been incorporated into the model. The infected‐susceptible and virus‐susceptible infection rates as well as the generation and removal rates of all compartments are described by general nonlinear functions. Five threshold parameters are computed, which insure the existence of the equilibria of the model under consideration. A set of conditions on the general functions has been established, which is sufficient to investigate the global dynamics of the model. The global asymptotic stability of all equilibria is proven by utilizing Lyapunov function and LaSalle's invariance principle. The theoretical results are illustrated by numerical simulations of the model with specific forms of the general functions.
ISSN:0170-4214
1099-1476
DOI:10.1002/mma.5923