TITLE:
A Kind of Time-Delayed COVID-19 Dynamical Model with Vaccination
AUTHORS:
Cheng’ao Li, Junliang Lu
KEYWORDS:
SVIQR Epidemic Model, the Time-Delayed COVID-19 Dynamical Model, Lyapunov Functional, Hopf Bifurcation, Stability
JOURNAL NAME:
Applied Mathematics,
Vol.13 No.4,
April
28,
2022
ABSTRACT: In the paper, we study a kind of time-delayed novel coronavirus pneumonia dynamical model with vaccination. This model considers that people are vaccinated, and the human immune system has a series of processes, which need a certain time. We first obtain the disease-free equilibrium and the basic reproduction number R0, and the system has a unique endemic equilibrium when R0 > 1. Then we discuss the stability of the disease-free equilibrium and the endemic equilibrium with different delays τ. For τ = 0, using the Lyapunov function approach, we obtained the stability of disease-free equilibrium and the endemic equilibrium, respectively. For any delay τ ≠ 0, using the Routh-Hurwitz Criteria, we obtained that the disease-free equilibrium is locally asymptotically stable. We also find the critical value τ0 at the endemic equilibrium, and obtain the condition that the system has a Hopf bifurcation at the endemic equilibrium. Finally, with the suitable choices of the parameters, some numerical simulations are presented in order to verify the effectiveness of the obtained theoretical results.