On the Stability Analysis for the Stochastic SVIR Model with Vaccination Age

The stochastic bifurcations of the infectious model with vaccination age are studied in this paper. It should be noted that biological parameters such as infectious and recovery rates randomly fluctuate by the random noise caused by environmental changes and individual differences. Moreover, since the effectiveness of vaccination varies greatly depending on vaccination age, we propose the stochastic infectious disease model with vaccination age. The prevalence of infectious diseases is closely related to the stability of the two types of the steady states, the disease-free state (DFS) and the endemic steady one (ES), of the infectious disease model. Hence, we study the stability of the DFS and the ES using the stochastic stability analysis and the bifurcation theory. By numerical simulations, we consider the influence of the random noise on the stability of the DFS and the ES.

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Publication Details

Journal
Transactions of the Institute of Systems Control and Information Engineers
Published
2024-08-15
DOI
https://doi.org/10.5687/iscie.37.225
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

On the Stability Analysis for the Stochastic SVIR Model with Vaccination Age

Masaaki Ishikawa
Transactions of the Institute of Systems Control and Information Engineers
Mathematical and Theoretical Epidemiology and Ecology Models
article

On the Stability Analysis for the Stochastic SVIR Model with Vaccination Age

Masaaki Ishikawa
article en

Abstract

The stochastic bifurcations of the infectious model with vaccination age are studied in this paper. It should be noted that biological parameters such as infectious and recovery rates randomly fluctuate by the random noise caused by environmental changes and individual differences. Moreover, since the effectiveness of vaccination varies greatly depending on vaccination age, we propose the stochastic infectious disease model with vaccination age. The prevalence of infectious diseases is closely related to the stability of the two types of the steady states, the disease-free state (DFS) and the endemic steady one (ES), of the infectious disease model. Hence, we study the stability of the DFS and the ES using the stochastic stability analysis and the bifurcation theory. By numerical simulations, we consider the influence of the random noise on the stability of the DFS and the ES.

Transactions of the Institute of Systems Control and Information EngineersVol. 37(8)
Yamaguchi University (JP)
Zero hunger
Openalex Percentile: Top 69%
Mathematical and Theoretical Epidemiology and Ecology Models
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