Dynamical analysis of hepatitis B virus through the stochastic and the deterministic model

In the current work, the deterministic hepatitis B virus epidemic (DHBVE) model and the stochastic hepatitis B virus epidemic (SHBVE) model are two nonlinear mathematical models that serve as the framework to illustrate and predict the dynamic virus behavior of hepatitis B. We employ an approximation based on the outcomes of the deterministic model to solve the stochastic model numerically. Euler-Maruyama method is employed to investigate the SHBVE model, whereas an explicit Runge-Kutta method is exploited to calculate the solution to the DHBVE model. Finally, comparisons between the DHBVE and SHBVE models' frameworks are presented.

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Publication Details

Journal
Computer Methods in Biomechanics & Biomedical Engineering
Published
2025-02-28
DOI
https://doi.org/10.1080/10255842.2025.2470798
Citations
8
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
15.03
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article

Dynamical analysis of hepatitis B virus through the stochastic and the deterministic model

Hijab Javaid, Adiqa Kausar Kiani, Nabeela Anwar, Muhammad Shoaib et al.
8 citations
Computer Methods in Biomechanics & Biomedical Engineering
Mathematical and Theoretical Epidemiology and Ecology Models
15.03
article

Dynamical analysis of hepatitis B virus through the stochastic and the deterministic model

Hijab Javaid, Adiqa Kausar Kiani, Nabeela Anwar, Muhammad Shoaib, Muhammad Asif Zahoor Raja, Iftikhar Ahmad
article en
8 citations

Abstract

In the current work, the deterministic hepatitis B virus epidemic (DHBVE) model and the stochastic hepatitis B virus epidemic (SHBVE) model are two nonlinear mathematical models that serve as the framework to illustrate and predict the dynamic virus behavior of hepatitis B. We employ an approximation based on the outcomes of the deterministic model to solve the stochastic model numerically. Euler-Maruyama method is employed to investigate the SHBVE model, whereas an explicit Runge-Kutta method is exploited to calculate the solution to the DHBVE model. Finally, comparisons between the DHBVE and SHBVE models' frameworks are presented.

Computer Methods in Biomechanics & Biomedical Engineering
National Yunlin University of Science and Technology (TW), University of Gujrat (PK), Yuan Ze University (TW)
Openalex Percentile: Top 1%
Mathematical and Theoretical Epidemiology and Ecology Models
15.03
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