Impulsive Linearly Implicit Euler Method for the SIR Epidemic Model with Pulse Vaccination Strategy

In this paper, a new numerical scheme, which we call the impulsive linearly implicit Euler method, for the SIR epidemic model with pulse vaccination strategy is constructed based on the linearly implicit Euler method. The sufficient conditions for global attractivity of an infection-free periodic solution of the impulsive linearly implicit Euler method are obtained. We further show that the limit of the disease-free periodic solution of the impulsive linearly implicit Euler method is the disease-free periodic solution of the exact solution when the step size tends to 0. Finally, two numerical experiments are given to confirm the conclusions.

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Publication Details

Journal
Axioms
Published
2024-12-04
DOI
https://doi.org/10.3390/axioms13120854
Citations
3
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
1.63

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article

Impulsive Linearly Implicit Euler Method for the SIR Epidemic Model with Pulse Vaccination Strategy

Gui-Lai Zhang, Songshu Liu, L. Chen, Zhiyong Zhu
3 citations
Axioms
Mathematical and Theoretical Epidemiology and Ecology Models
1.63
article

Impulsive Linearly Implicit Euler Method for the SIR Epidemic Model with Pulse Vaccination Strategy

Gui-Lai Zhang, Songshu Liu, L. Chen, Zhiyong Zhu
article en
3 citations

Abstract

In this paper, a new numerical scheme, which we call the impulsive linearly implicit Euler method, for the SIR epidemic model with pulse vaccination strategy is constructed based on the linearly implicit Euler method. The sufficient conditions for global attractivity of an infection-free periodic solution of the impulsive linearly implicit Euler method are obtained. We further show that the limit of the disease-free periodic solution of the impulsive linearly implicit Euler method is the disease-free periodic solution of the exact solution when the step size tends to 0. Finally, two numerical experiments are given to confirm the conclusions.

AxiomsVol. 13(12)
Northeastern University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 15%
Mathematical and Theoretical Epidemiology and Ecology Models
1.63
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