Mathematical Modelling And Analysis Of Influenza (H5N1)

In this study, we introduce a continuous MSEIHR model and explore its dynamic behavior and fundamental properties. Using Lyapunov functions and the Routh-Hurwitz conditions, we perform a stability analysis of the model. Our results confirm that when the basic reproduction ratio R0 < 1, the system is both globally and locally stable at the disease-free equilibria Eef . Reciprocally, when R0 > 1, an endemic equilibria Eeq emerges, and the system stabilizes at this equilibria. Additionally, we analyze the MSEIHR sensitivity to get the parameters with the most substantial influence on R0. Finally, we validate our theoretical findings with numerical simulations using Matlab.

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Publication Details

Journal
Statistics Optimization & Information Computing
Published
2025-06-27
DOI
https://doi.org/10.19139/soic-2310-5070-2554
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Mathematical Modelling And Analysis Of Influenza (H5N1)

Statistics Optimization & Information Computing
Mathematical and Theoretical Epidemiology and Ecology Models
article

Mathematical Modelling And Analysis Of Influenza (H5N1)

article en

Abstract

In this study, we introduce a continuous MSEIHR model and explore its dynamic behavior and fundamental properties. Using Lyapunov functions and the Routh-Hurwitz conditions, we perform a stability analysis of the model. Our results confirm that when the basic reproduction ratio R0 < 1, the system is both globally and locally stable at the disease-free equilibria Eef . Reciprocally, when R0 > 1, an endemic equilibria Eeq emerges, and the system stabilizes at this equilibria. Additionally, we analyze the MSEIHR sensitivity to get the parameters with the most substantial influence on R0. Finally, we validate our theoretical findings with numerical simulations using Matlab.

Statistics Optimization & Information ComputingVol. 15(2)
Université Sultan Moulay Slimane (MA), University of Hassan II Casablanca (MA)
Openalex Percentile: Top 47%
Mathematical and Theoretical Epidemiology and Ecology Models
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