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February 12, 2026SHILAP Revista de lepidopterología1 citationsOpen Access

Modeling the effect of alcohol consumption on the progression dynamics of Hepatitis C infection with treatment

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AAAgnes Mbeine AsiimweMBMichael ByamukamaMKMartin Karuhanga

Key Points

  • This research aims to model how alcohol consumption affects the progression of hepatitis C infection and the impacts of treatment.
  • Developed a logistic model to study alcohol's effect on hepatitis C progression.
  • Conducted stability analysis of equilibrium points in the model.
  • Performed sensitivity and numerical analysis to evaluate treatment impact.
  • All model solutions were non-negative and aligned with realistic biological conditions.
  • Both disease-free and endemic equilibrium points showed stability under specific conditions.
  • Reducing alcohol consumption and enhancing treatment significantly decreased chronic infection rates.

Abstract

This research introduces a model that integrates a logistic approach to alcohol consumption to delve into the effect of alcohol consumption on the advancement of hepatitis C infection, evaluates the effects of addressing hepatitis C treatment and reducing alcohol consumption to minimal levels in the control of hepatitis C infection. The hepatitis C model was well established and biologically reasonable, indicating that all model solutions were non-negative and associated with non-negative initial conditions. Stability analysis revealed that the disease-free and endemic equilibrium points were locally and globally asymptotically stable whenever the basic reproduction number, Formula: see text and Formula: see text respectively. Sensitivity and numerical analysis of the model showed that improving treatment for individuals with chronic infection, along with reducing alcohol consumption, led to a notable decrease in the number of people affected by chronic infection.

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Cite This Study

Asiimwe et al. (2026) studied this question.

synapsesocial.com/papers/698d6d445be6419ac0d52332https://doi.org/10.1080/29937574.2026.2620745
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