Modeling the Effects of Treatment Adherence Challenges on the Transmission Dynamics of Hepatitis C Virus
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Date
2025-08-08
Journal Title
Journal ISSN
Volume Title
Publisher
OPEN ACCESS
Abstract
Infectious Disease Modeling is Crucial for Predicting Disease Progression Over Time And
Helps Guide Decision Makers in Public Health Policy. Hepatitis C Virus (HCV) Prevalence
is Still IncreasingiIn Zimbabwe, A Low-Middle-Income Country (LMIC), Despite The Avail-
Ability of Effective Treatments, and the Reasons for this Increase Are Not Well Understood.
Our Study Employed a Mathematical Model to Explain the Impact of Poor Treatment Adher-
Ence on HCV Transmission Dynamics in Zimbabwe. we Computed The Basic Reproduc-
Tion Number (R0), a Vital Metric of Disease Spread. Equilibrium States of the Model Were
Determined, And Their Stability Was Investigated. The Study Demonstrated That An Adher-
Ence Level Exceeding 52% Causes the Reproduction Number to Drop Below 1, Curtailing
Further Spread. Our HCV Model Indicates that Variations in Re-Susceptibility Minimally
Impact Outcomes, Suggesting that Re-Susceptibility Can Often be Excluded in Such Analy-
Ses. Our Model Unraveled the Synergistic Impact of Simultaneously Enhancing the Recov-
Ery Rate of Acutely Infected Individuals and Treatment Adherence on Reducing R0. the
Study Underlines the Pressing Need for Stronger Health Interventions, Including Patient
Education, Financial Assistance, and Rigorous Monitoring, To Improve Treatment Adher-
Ence. These Interventions are Paramount in Curbing HCV Proliferation, Particularly in
Lmics Like Zimbabwe, and Can Serve as aTemplate for Similar Settings Globally
Description
This Journal Article was published by OPEN ACCESS in 2025