article · Scientific Reports
Hepatitis B virus remains a severe global health concern, causing around one million deaths annually among hundreds of millions of chronic carriers. To assess control methods, a nonlinear mathematical model was formulated to explore the transmission dynamics of the virus. The framework incorporates key population factors including vaccination programmes, treatment pathways, migration, and diagnostic screening. Mathematical evaluations identified both disease-free and endemic equilibrium states, confirmed their stability, and derived the effective reproduction number using a next-generation matrix approach. Sensitivity analysis highlighted the most critical parameters influencing the sustained presence of the infection. The resulting insights demonstrate that comprehensive population vaccination, universal screening of migrants and exposed individuals, and prompt treatment of both identified exposed cases and chronically infected patients are essential strategies to reduce transmission within communities.
Hepatitis B affects hundreds of millions of people worldwide and leads to high mortality through chronic infection. By simulating how screening, vaccination, migration, and healthcare therapies interact, mathematical models provide public health decision-makers with quantitative evidence on which combined interventions can most effectively disrupt viral spread across communities.
The model provides early-stage theoretical frameworks that could inform public health planning tools, screening policies, and resource allocation models for healthcare authorities. However, the abstract describes fundamental mathematical analysis rather than software development or clinical trials, indicating that direct commercial or operational applications remain at an early, theoretical stage.
AI-generated from the published abstract. Always read the original work before citing.
Hepatitis B is one of the world's most common and severe infectious diseases. Worldwide, over 350 million people are currently estimated to be persistent carriers of the hepatitis B virus (HBV), with the death of 1 million people from the chronic stage of HBV infection. In this work, developed a nonlinear mathematical model for the transmission dynamics of HBV. We constructed the mathematical model by considering vaccination, treatment, migration, and screening effects. We calculated both disease-free and endemic equilibrium points for our model. Using the next-generation matrix, an effective reproduction number for the model is calculated. We also proved the asymptotic stability of both local and global asymptotically stability of disease-free and endemic equilibrium points. By calculating the sensitivity indices, the most sensitive parameters that are most likely to affect the disease's endemicity are identified. From the findings of this work, we recommend vaccination of the entire population and screening all the exposed and migrants. Additionally, early treatment of both the exposed class after screening and the chronically infected class is vital to decreasing the transmission of HBV in the community.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1038/s41598-023-35815-z
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
