Traveling Waves in a Kermack-McKendric Epidemic Model

This study explores the existence of traveling wave solutions in the classical Kermack-McKendrick epidemic model with local diffusive. The findings highlight the critical role of the basic reproduction number R0 in shaping wave dynamics. Traveling wave solutions are shown to exist for wave speeds c ≥ c* when R0 > 1, with c* denoting the minimal wave speed. Conversely, no traveling waves are observed for c < c* or R0 < 1. Numerical simulations are employed to validate the theoretical results, demonstrating the presence of traveling waves for a range of nonlinear incidence functions and offering insights into the spatial spread.

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Publication Details

Journal
INTERMATHS Revista de Matemática Aplicada e Interdisciplinar
Published
2024-12-31
DOI
https://doi.org/10.22481/intermaths.v5i2.15692
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Traveling Waves in a Kermack-McKendric Epidemic Model

Rassim Darazirar
INTERMATHS Revista de Matemática Aplicada e Interdisciplinar
Mathematical and Theoretical Epidemiology and Ecology Models
article

Traveling Waves in a Kermack-McKendric Epidemic Model

Rassim Darazirar
article en

Abstract

This study explores the existence of traveling wave solutions in the classical Kermack-McKendrick epidemic model with local diffusive. The findings highlight the critical role of the basic reproduction number R0 in shaping wave dynamics. Traveling wave solutions are shown to exist for wave speeds c ≥ c* when R0 > 1, with c* denoting the minimal wave speed. Conversely, no traveling waves are observed for c < c* or R0 < 1. Numerical simulations are employed to validate the theoretical results, demonstrating the presence of traveling waves for a range of nonlinear incidence functions and offering insights into the spatial spread.

INTERMATHS Revista de Matemática Aplicada e InterdisciplinarVol. 5(2)
Hassiba Benbouali University of Chlef (DZ)
Good health and well-being
Openalex Percentile: Top 62%
Mathematical and Theoretical Epidemiology and Ecology Models
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