HIV/AIDS compartmental model analysis with drug resistance treatment, vertical transmission, and optimal control theory

This study develops a novel HIV/AIDS compartmental model that integrates the critical, interconnected challenges of drug resistance emergence from treated individuals, healthcare constraints via a saturating treatment function, and persistent vertical transmission. The objective is to provide a comprehensive mathematical framework for analyzing these complex dynamics and designing effective intervention strategies. Our analysis reveals that treatment saturation can induce a backward bifurcation, complicating disease eradication efforts, while optimal control simulations demonstrate that a combined strategy of enhanced screening, accelerated treatment initiation, and adherence support significantly reduces infection pools and minimizes disease progression compared to isolated interventions.

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Publication Details

Journal
Scientific Reports
Published
2025-12-19
DOI
https://doi.org/10.1038/s41598-025-26943-9
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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HIV/AIDS compartmental model analysis with drug resistance treatment, vertical transmission, and optimal control theory

Gbolahan Bolarin, Ghaniyyat Bolanle Balogun, Shewafera Wondimagegnhu Teklu, Manalebish Debalike Asfaw et al.
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Mathematical and Theoretical Epidemiology and Ecology Models
article

HIV/AIDS compartmental model analysis with drug resistance treatment, vertical transmission, and optimal control theory

Gbolahan Bolarin, Ghaniyyat Bolanle Balogun, Shewafera Wondimagegnhu Teklu, Manalebish Debalike Asfaw, Olumuyiwa James Peter
article en

Abstract

This study develops a novel HIV/AIDS compartmental model that integrates the critical, interconnected challenges of drug resistance emergence from treated individuals, healthcare constraints via a saturating treatment function, and persistent vertical transmission. The objective is to provide a comprehensive mathematical framework for analyzing these complex dynamics and designing effective intervention strategies. Our analysis reveals that treatment saturation can induce a backward bifurcation, complicating disease eradication efforts, while optimal control simulations demonstrate that a combined strategy of enhanced screening, accelerated treatment initiation, and adherence support significantly reduces infection pools and minimizes disease progression compared to isolated interventions.

Scientific ReportsVol. 15(1)
Debre Berhan University (ET), University of Ilorin (NG), University of Medical Sciences, Ondo, Addis Ababa University (ET), Federal University of Technology Minna (NG), Saveetha University (IN), Olusegun Agagu University of Science and Technology (NG)
Openalex Percentile: Top 48%
Mathematical and Theoretical Epidemiology and Ecology Models
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