|
Abstract
|
This study introduces an SCIRS epidemic model 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 , we examine the impact of the immune system on the transmission rate. Additionally, 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.
|