Dynamics of an Infectious Disease Model with Transmission Delay from Recovery to Susceptibility

In this study, an extended SIR model with vaccination and treatment is considered by introducing a delay in the transition from the recovered class back to the susceptible class. This delay reflects the time it takes for individuals to lose immunity after recovery or vaccination. To understand the dynamics of the disease, both local and global stability of the equilibrium points are analyzed. Local stability conditions are derived using the basic reproduction number and characteristic equations, while global stability is established through Lyapunov’s method. A numerical example is included to demonstrate how different values of the delay affect the system.

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-09-02
DOI
https://doi.org/10.52783/cana.v31.5899
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Dynamics of an Infectious Disease Model with Transmission Delay from Recovery to Susceptibility

G. Shailaja
Communications on Applied Nonlinear Analysis
Mathematical and Theoretical Epidemiology and Ecology Models
article

Dynamics of an Infectious Disease Model with Transmission Delay from Recovery to Susceptibility

G. Shailaja
article en

Abstract

In this study, an extended SIR model with vaccination and treatment is considered by introducing a delay in the transition from the recovered class back to the susceptible class. This delay reflects the time it takes for individuals to lose immunity after recovery or vaccination. To understand the dynamics of the disease, both local and global stability of the equilibrium points are analyzed. Local stability conditions are derived using the basic reproduction number and characteristic equations, while global stability is established through Lyapunov’s method. A numerical example is included to demonstrate how different values of the delay affect the system.

Communications on Applied Nonlinear AnalysisVol. 31(8s)
Openalex Percentile: Top 59%
Mathematical and Theoretical Epidemiology and Ecology Models
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