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A time-delayed model for the spread of COVID-19 with vaccination.


ABSTRACT: A mathematical model is presented in this paper to investigate the effects of time delay in vaccine production on COVID-19 spread. The model is analyzed qualitatively and numerically. The qualitative analysis indicates that the system variables are non-negative, bounded, and biologically meaningful. Moreover, the model has produced two equilibrium points: the free equilibrium point, which can exist without conditions, and the endemic equilibrium point, which can exist if the control reproduction number, [Formula: see text], is not less than one. In addition, the local stability of the equilibrium points is investigated and agrees with the numerical analysis results. Finally, a sensitivity analysis is conducted for [Formula: see text]. In particular, we examine the effect of the vaccine's time delay, vaccine rate, and vaccine efficiency on the model dynamics.

SUBMITTER: Al-Tuwairqi SM 

PROVIDER: S-EPMC9659561 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

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A time-delayed model for the spread of COVID-19 with vaccination.

Al-Tuwairqi Salma M SM   Al-Harbi Sara K SK  

Scientific reports 20221113 1


A mathematical model is presented in this paper to investigate the effects of time delay in vaccine production on COVID-19 spread. The model is analyzed qualitatively and numerically. The qualitative analysis indicates that the system variables are non-negative, bounded, and biologically meaningful. Moreover, the model has produced two equilibrium points: the free equilibrium point, which can exist without conditions, and the endemic equilibrium point, which can exist if the control reproduction  ...[more]