Modeling the Effects of Treatment Adherence Challenges on the Transmission Dynamics of Hepatitis C Virus
dc.contributor.author | Mupedza, Tinashe Victor | |
dc.contributor.author | Mhlanga, Laurette | |
dc.contributor.author | Mamutse ,Dennis | |
dc.contributor.author | Helikumi, Mlyashimbi | |
dc.contributor.author | Oresto ,Lolika Paride | |
dc.contributor.author | Tangakugara, Murambiwa Shingirai | |
dc.contributor.author | Mhlanga, Adquate | |
dc.date.accessioned | 2025-08-18T11:56:06Z | |
dc.date.available | 2025-08-18T11:56:06Z | |
dc.date.issued | 2025-08-08 | |
dc.description | This Journal Article was published by OPEN ACCESS in 2025 | |
dc.description.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 | |
dc.description.sponsorship | Mbeya, University of Science and Technology. | |
dc.identifier.issn | https://doi.org/10.1371/journal.pone.0329543 | |
dc.identifier.uri | https://repository.must.ac.tz/handle/123456789/456 | |
dc.language.iso | en | |
dc.publisher | OPEN ACCESS | |
dc.title | Modeling the Effects of Treatment Adherence Challenges on the Transmission Dynamics of Hepatitis C Virus | |
dc.type | Article |