Numerical Modelling of SEIR on Two-Dose Vaccination Against the Rubella Virus

In this article, we determine non-linear terms under the modulation of dynamic transmission in childhood diseases analyzed to explore the effect of Rubella virus, along with double-dose vaccination strategy which was suggested by WHO. Firstly, basic properties of model were calculated such as positiveness, boundedness, disease free and endemic points. Model stability was proved at the disease-free and endemic equilibrium points. The Reproductive number was calculated using the next generation matrix method. Furthermore, sensitivity analysis is used to ascertain how parameter changes impact the system's dynamic behavior. We used Euler, Rk-4 and NSFD method. The purpose of the numerical simulations is to demonstrate the importance of the theoretical findings using numerical methods and the viability of the numerical schemes. Convergence and consistency analysis of NSFD scheme were proven. Additionally, we proved that NSFD is more reliable than Euler and RK4 through graphical interpretation. Incorporating this method enhanced the model’s accuracy, stability, and predictions for rubella dynamics.

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Publication Details

Journal
Malaysian Journal of Fundamental and Applied Sciences
Published
2025-02-21
DOI
https://doi.org/10.11113/mjfas.v21n1.3713
Citations
11
Primary Topic
Virology and Viral Diseases
Type
article
Field-Weighted Citation Impact
14.90

Funders

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article

Numerical Modelling of SEIR on Two-Dose Vaccination Against the Rubella Virus

Muhammad Rafiq, Awais Ahmad, Siti Ainor Mohd Yatim, Shah Zeb et al.
11 citations
Malaysian Journal of Fundamental and Applied Sciences
Virology and Viral Diseases
14.90
article

Numerical Modelling of SEIR on Two-Dose Vaccination Against the Rubella Virus

Muhammad Rafiq, Awais Ahmad, Siti Ainor Mohd Yatim, Shah Zeb, Ayesha Kamran
article en
11 citations

Abstract

In this article, we determine non-linear terms under the modulation of dynamic transmission in childhood diseases analyzed to explore the effect of Rubella virus, along with double-dose vaccination strategy which was suggested by WHO. Firstly, basic properties of model were calculated such as positiveness, boundedness, disease free and endemic points. Model stability was proved at the disease-free and endemic equilibrium points. The Reproductive number was calculated using the next generation matrix method. Furthermore, sensitivity analysis is used to ascertain how parameter changes impact the system's dynamic behavior. We used Euler, Rk-4 and NSFD method. The purpose of the numerical simulations is to demonstrate the importance of the theoretical findings using numerical methods and the viability of the numerical schemes. Convergence and consistency analysis of NSFD scheme were proven. Additionally, we proved that NSFD is more reliable than Euler and RK4 through graphical interpretation. Incorporating this method enhanced the model’s accuracy, stability, and predictions for rubella dynamics.

Malaysian Journal of Fundamental and Applied SciencesVol. 21(1)
Universiti Sains Malaysia (MY), Namal University (PK), University of Management and Technology (PK)
Universiti Sains Malaysia
Openalex Percentile: Top 1%
Virology and Viral Diseases
14.90
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