Mathematical Insights into Zoonotic Disease Spread: Application of the Milstein Method

This study develops a mathematical model to explore zoonotic disease transmission dynamics between baboons and humans in the Al-Baha region. The model incorporates key intervention strategies—sterilization, restricted food access, and reduced human-baboon interactions—to mitigate disease spread. Theoretical analysis establishes the existence, uniqueness, non-negativity, and boundedness of solutions, ensuring biological validity. Stability analysis identifies infection-free and endemic equilibria, with the basic reproduction number \( R_0 \) characterizing disease persistence or eradication. A stochastic version of the model, implemented using the Milstein method, captures the impact of environmental and social variability on disease dynamics. Sensitivity analysis highlights critical parameters influencing transmission dynamics, while numerical simulations emphasize the importance of combining control measures. This comprehensive approach offers actionable insights for effective public health and wildlife management strategies.

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Publication Details

Journal
European Journal of Pure and Applied Mathematics
Published
2025-05-01
DOI
https://doi.org/10.29020/nybg.ejpam.v18i2.5881
Citations
7
Primary Topic
Livestock and Poultry Management
Type
article
Field-Weighted Citation Impact
8.35

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article

Mathematical Insights into Zoonotic Disease Spread: Application of the Milstein Method

Abdullah Alahmari„, Sayed Saber
7 citations
European Journal of Pure and Applied Mathematics
Livestock and Poultry Management
8.35
article

Mathematical Insights into Zoonotic Disease Spread: Application of the Milstein Method

Abdullah Alahmari„, Sayed Saber
article en
7 citations

Abstract

This study develops a mathematical model to explore zoonotic disease transmission dynamics between baboons and humans in the Al-Baha region. The model incorporates key intervention strategies—sterilization, restricted food access, and reduced human-baboon interactions—to mitigate disease spread. Theoretical analysis establishes the existence, uniqueness, non-negativity, and boundedness of solutions, ensuring biological validity. Stability analysis identifies infection-free and endemic equilibria, with the basic reproduction number \( R_0 \) characterizing disease persistence or eradication. A stochastic version of the model, implemented using the Milstein method, captures the impact of environmental and social variability on disease dynamics. Sensitivity analysis highlights critical parameters influencing transmission dynamics, while numerical simulations emphasize the importance of combining control measures. This comprehensive approach offers actionable insights for effective public health and wildlife management strategies.

European Journal of Pure and Applied MathematicsVol. 18(2)
Umm al-Qura University (SA), Al Baha University (SA)
Umm Al-Qura University
Openalex Percentile: Top 2%
Livestock and Poultry Management
8.35
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