Investigating the ARSIRI Model: An Extended SIR Model with Reinfection for Modelling Addiction-Related Phenomena

This paper investigates the ARSIRI model, a modified SIR model that considers the possibility of reinfection from the recovered compartment to the infected compartment. This modification is motivated by representing an addiction-related phenomenon in which recovered individuals can become reinfected. The paper examines disease-free and endemic equilibrium points. The stability conditions of the equilibrium points are investigated using a reproductive number that cannot be computed using the regular next-generation matrix. The most important parameter in the model, namely the reinfection rate, is then analyzed from a bifurcation point of view. Finally, the ARSIRI model is applied to simulated data as well as real data related to alcohol addiction, demonstrating its superiority over the regular SIR model.

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Publication Details

Journal
Malaysian Journal of Mathematical Sciences
Published
2025-03-24
DOI
https://doi.org/10.47836/mjms.19.1.16
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Investigating the ARSIRI Model: An Extended SIR Model with Reinfection for Modelling Addiction-Related Phenomena

Nanang Susyanto
Malaysian Journal of Mathematical Sciences
Mathematical and Theoretical Epidemiology and Ecology Models
article

Investigating the ARSIRI Model: An Extended SIR Model with Reinfection for Modelling Addiction-Related Phenomena

Nanang Susyanto
article en

Abstract

This paper investigates the ARSIRI model, a modified SIR model that considers the possibility of reinfection from the recovered compartment to the infected compartment. This modification is motivated by representing an addiction-related phenomenon in which recovered individuals can become reinfected. The paper examines disease-free and endemic equilibrium points. The stability conditions of the equilibrium points are investigated using a reproductive number that cannot be computed using the regular next-generation matrix. The most important parameter in the model, namely the reinfection rate, is then analyzed from a bifurcation point of view. Finally, the ARSIRI model is applied to simulated data as well as real data related to alcohol addiction, demonstrating its superiority over the regular SIR model.

Malaysian Journal of Mathematical SciencesVol. 19(1)
Good health and well-being
Openalex Percentile: Top 92%
Mathematical and Theoretical Epidemiology and Ecology Models
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