Mathematical Modeling of Rabies Control: Evaluating Vaccination Strategies via NSFD and RK4 Approaches
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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.
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References
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Cite This Article
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 -
@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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