Stability and Bifurcation Analysis of a Fractional-Order Delayed SIRS Epidemic Model with Logistic Growth
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
Faculty of Sciences
Abstract
Mathematical modeling plays a vital role in the epidemiology of infectious diseases. Policy
makers can provide the effective interventions by the relevant results of the epidemic
models. In this work, we study a fractional-order SIRS epidemic model with time delay
and logistic growth (see [54]), and we discuss the dynamical behavior of the model, such
as the local stability of the equilibria and the existence of Hopf bifurcation around the endemic
equilibrium. We present the numerical simulations to verify the theoretical analysis