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Abstract
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An SCIRS epidemic model is presented in this study that incorporates disease
immunity to analyze the spread of COVID-19. By determining the equilibrium
points of the system and evaluating their local and global stability. The impact
of the immune system on the transmission rate is examined. Addi- tionally, we
introduce a Hopf bifurcation at the native equilibrium. The Adams-Bashforth-
Moulton method is used to obtain numerical solutions for the model, along with
a mathematical analysis. To predict the transmission of COVID-19, we conduct a
numerical simulation using real-world data.
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