Preprint
Article

This version is not peer-reviewed.

Assessing the Impact of Multi-Level Clinical Interventions and Safe Practices Compliance for Hepatitis B Transmission: A fractional-Order Model Approach

Submitted:

06 June 2026

Posted:

09 June 2026

You are already at the latest version

Abstract
Hepatitis B remains a major public health concern worldwide, particularly in developing nations where poor vaccination coverage, lack of screening, unsafe sexual practices, and delayed treatment fuel its spread. We developed a fractional-order model incorporating vaccination, screening, post-exposure prophylaxis (PEP), acute and chronic infection management, and behavioural measures. Theoretical analysis confirmed the model's existence, uniqueness, positivity, and boundedness. Equilibrium states were identified, and the basic reproduction number (R0) was derived via the next-generation matrix. The disease-free equilibrium is locally and globally asymptotically stable when R0< 1, while the endemic equilibrium exists and is globally asymptotically stable when R0>1. Model fitting and parameter estimation used acute Hepatitis B data from Ireland. Sensitivity analysis identified vaccination, screening, and safe practices as the most influential control factors. Numerical simulations showed that conventional strategies alone are insufficient; higher vaccination coverage, efficient screening, improved safe practices, and effective PEP are essential to reduce transmission. Collectively, these interventions minimize progression to chronic disease, reduce long-term burden, lower complications and mortality, particularly when acute infection management is included.
Keywords: 
;  ;  ;  ;  
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

Disclaimer

Terms of Use

Privacy Policy

Privacy Settings

© 2026 MDPI (Basel, Switzerland) unless otherwise stated