Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches
Research Article  ·  Published: 15 April 2026
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Journal of Numerical Simulations in Physics and Mathematics
Volume 2, Issue 1, 2026: 9-24
Research Article Open Access

Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches

1 Department of Mathematics, University of Malakand, Chakdara 18000, Pakistan
* Corresponding Author: Imtiaz Ahmad, [email protected]
Volume 2, Issue 1
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Abstract

The initial mathematical model for rabies consists of six compartments representing the human and dog populations: $S_h, I_h, V_h, S_d, I_d, V_d$. To obtain a more realistic description of rabies transmission dynamics, we extend the model by introducing two additional human compartments: Exposed ($E_h$) and Recovered ($R_h$) individuals. The extended system therefore comprises eight compartments: $S_h, E_h, I_h, V_h, R_h, S_d, I_d, V_d$. This extension captures important differences in disease progression, treatment response, and transmission pathways. Within this framework, we examine the positivity and boundedness of solutions, derive the basic reproduction number ($R_0$), analyse the sensitivity of $R_0$ to key epidemiological parameters, and investigate the global stability of the endemic equilibrium. Numerical simulations are carried out using both the classical fourth-order Runge-Kutta (RK4) method and the Nonstandard Finite Difference (NSFD) method, allowing us to compare their accuracy and reliability in predicting population dynamics.

Graphical Abstract

Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches

Keywords

rabies stability analysis RK4 versus the NSFD method

Data Availability Statement

Data will be made available on request.

Funding

This work was supported without any funding.

Conflicts of Interest

The authors declare no conflicts of interest.

AI Use Statement

The authors declare that no generative AI was used in the preparation of this manuscript.

Ethical Approval and Consent to Participate

Not applicable.

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APA Style
Younas, H., Ahmad, I., Ullah, Z., & Ullah, H. (2026). Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches. Journal of Numerical Simulations in Physics and Mathematics, 2(1), 9–24. https://doi.org/10.62762/JNSPM.2026.413156
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TY  - JOUR
AU  - Younas, Hazrat
AU  - Ahmad, Imtiaz
AU  - Ullah, Zakir
AU  - Ullah, Hanif
PY  - 2026
DA  - 2026/04/15
TI  - Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches
JO  - Journal of Numerical Simulations in Physics and Mathematics
T2  - Journal of Numerical Simulations in Physics and Mathematics
JF  - Journal of Numerical Simulations in Physics and Mathematics
VL  - 2
IS  - 1
SP  - 9
EP  - 24
DO  - 10.62762/JNSPM.2026.413156
UR  - https://www.icck.org/article/abs/JNSPM.2026.413156
KW  - rabies
KW  - stability analysis
KW  - RK4 versus the NSFD method
AB  - The initial mathematical model for rabies consists of six compartments representing the human and dog populations: $S_h, I_h, V_h, S_d, I_d, V_d$. To obtain a more realistic description of rabies transmission dynamics, we extend the model by introducing two additional human compartments: Exposed ($E_h$) and Recovered ($R_h$) individuals. The extended system therefore comprises eight compartments: $S_h, E_h, I_h, V_h, R_h, S_d, I_d, V_d$. This extension captures important differences in disease progression, treatment response, and transmission pathways. Within this framework, we examine the positivity and boundedness of solutions, derive the basic reproduction number ($R_0$), analyse the sensitivity of $R_0$ to key epidemiological parameters, and investigate the global stability of the endemic equilibrium. Numerical simulations are carried out using both the classical fourth-order Runge-Kutta (RK4) method and the Nonstandard Finite Difference (NSFD) method, allowing us to compare their accuracy and reliability in predicting population dynamics.
SN  - 3068-9082
PB  - Institute of Central Computation and Knowledge
LA  - English
ER  - 
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@article{Younas2026Mathematic,
  author = {Hazrat Younas and Imtiaz Ahmad and Zakir Ullah and Hanif Ullah},
  title = {Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches},
  journal = {Journal of Numerical Simulations in Physics and Mathematics},
  year = {2026},
  volume = {2},
  number = {1},
  pages = {9-24},
  doi = {10.62762/JNSPM.2026.413156},
  url = {https://www.icck.org/article/abs/JNSPM.2026.413156},
  abstract = {The initial mathematical model for rabies consists of six compartments representing the human and dog populations: \$S\_h, I\_h, V\_h, S\_d, I\_d, V\_d\$. To obtain a more realistic description of rabies transmission dynamics, we extend the model by introducing two additional human compartments: Exposed (\$E\_h\$) and Recovered (\$R\_h\$) individuals. The extended system therefore comprises eight compartments: \$S\_h, E\_h, I\_h, V\_h, R\_h, S\_d, I\_d, V\_d\$. This extension captures important differences in disease progression, treatment response, and transmission pathways. Within this framework, we examine the positivity and boundedness of solutions, derive the basic reproduction number (\$R\_0\$), analyse the sensitivity of \$R\_0\$ to key epidemiological parameters, and investigate the global stability of the endemic equilibrium. Numerical simulations are carried out using both the classical fourth-order Runge-Kutta (RK4) method and the Nonstandard Finite Difference (NSFD) method, allowing us to compare their accuracy and reliability in predicting population dynamics.},
  keywords = {rabies, stability analysis, RK4 versus the NSFD method},
  issn = {3068-9082},
  publisher = {Institute of Central Computation and Knowledge}
}

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