Spatiotemporal Dynamics of a Delayed and Diffusive Viral Infection Model with Logistic Growth
AbstractViruses have important influences on human health: they not only cause some common diseases, but also cause serious illnesses. Moreover, the conventional medicines usually fail to prevent or treat them, and viral infections are hard to treat because viruses live inside the body’s cells. However, some mathematical models can help to understand the viral transmission mechanism and control viral diseases. In this paper, a delayed viral infection model with spatial diffusion and logistic growth is presented. The asymptotic stability of nonnegative uniform steady states is investigated by utilizing the linearized method and constructing the proper Lyapunov functional, respectively. The existence of Hopf bifurcation from the positive equilibrium point is established by analyzing the corresponding characteristic equation and the direction of bifurcation, and the properties of bifurcating periodic solutions are derived by the aid of the normal form theory for partial functional differential equations. Then, the cross-diffusion system is introduced. Furthermore, some numerical simulations are carried, out and discussions are given. View Full-Text
Share & Cite This Article
Zhuang, K. Spatiotemporal Dynamics of a Delayed and Diffusive Viral Infection Model with Logistic Growth. Math. Comput. Appl. 2017, 22, 7.
Zhuang K. Spatiotemporal Dynamics of a Delayed and Diffusive Viral Infection Model with Logistic Growth. Mathematical and Computational Applications. 2017; 22(1):7.Chicago/Turabian Style
Zhuang, Kejun. 2017. "Spatiotemporal Dynamics of a Delayed and Diffusive Viral Infection Model with Logistic Growth." Math. Comput. Appl. 22, no. 1: 7.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.