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Abstract
Hepatitis B virus (HBV) infection remains a significant global public health challenge,
contributing to high morbidity and mortality rates worldwide. This study develops and
analyzes a deterministic compartmental
model to investigate the transmission dynamics
and control of HBV. The total population is stratified into seven epidemiological compartments to capture key biological and intervention processes. The model’s disease-free
equilibrium (DFE) and endemic equilibrium points are derived, and the basic reproduction
number (R0) is computed using the Diekmann-Heesterbeek-Metz next-generation matrix
method. The stability analysis shows that the DFE is locally asymptotically stable when
R0 1 and unstable when R0 1. The sensitivity analysis reveals that parameters
related to transmission, vaccination and treatment significantly influence R0. This highlights the importance of these parameters in HBV control. The numerical simulations
demonstrate the impacts of key epidemiological parameters, particularly the waning immunity rate and recovery rate from acute infection on the disease persistence. The findings
provide valuable insights to support public health interventions and inform policy actions
toward the global control of HBV.
Keywords: Hepatitis B Virus (HBV), Mathematical Modeling, Stability Analysis,