THE CLOSED-FORM SOLUTIONS OF A DIFFUSIVE SUSCEPTIBLE-INFECTIOUS-SUSCEPTIBLE EPIDEMIC MODEL

We establish the closed-form solutions of the Susceptible-Infectious-Susceptible (SIS) epidemic model with diffusion using Lie point symmetries. The model admits a four-dimensional Lie algebra. We use different combinations of Lie symmetries to construct the closed-form solutions. We consider appropriate initial and boundary conditions to explore the biological relevance of these closed-form solutions. We utilize the closed-form solutions to study the transmission dynamics of an influenza outbreak with Gaussian initial distributions. We plot graphs for the susceptible and infected populations. We consider the lower diffusion coefficient and higher diffusion coefficient cases to analyze the transmission dynamics of the influenza outbreak.

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Publication Details

Journal
Journal of Applied Analysis & Computation
Published
2025-01-01
DOI
https://doi.org/10.11948/20240175
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
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article

THE CLOSED-FORM SOLUTIONS OF A DIFFUSIVE SUSCEPTIBLE-INFECTIOUS-SUSCEPTIBLE EPIDEMIC MODEL

Rehana Naz, Shamaila Irum, G. Wang
Journal of Applied Analysis & Computation
COVID-19 epidemiological studies
article

THE CLOSED-FORM SOLUTIONS OF A DIFFUSIVE SUSCEPTIBLE-INFECTIOUS-SUSCEPTIBLE EPIDEMIC MODEL

Rehana Naz, Shamaila Irum, G. Wang
article en

Abstract

We establish the closed-form solutions of the Susceptible-Infectious-Susceptible (SIS) epidemic model with diffusion using Lie point symmetries. The model admits a four-dimensional Lie algebra. We use different combinations of Lie symmetries to construct the closed-form solutions. We consider appropriate initial and boundary conditions to explore the biological relevance of these closed-form solutions. We utilize the closed-form solutions to study the transmission dynamics of an influenza outbreak with Gaussian initial distributions. We plot graphs for the susceptible and infected populations. We consider the lower diffusion coefficient and higher diffusion coefficient cases to analyze the transmission dynamics of the influenza outbreak.

Journal of Applied Analysis & ComputationVol. 15(1)
Good health and well-being
Openalex Percentile: Top 83%
COVID-19 epidemiological studies
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