Modeling the impact of biomedical prevention on HIV/AIDS transmission dynamics

The HIV/AIDS epidemic has significantly reshaped global public health priorities, prompting unprecedented investments in research, treatment programs, and prevention strategies. Despite these efforts, the disease continues to place substantial pressure on healthcare systems, particularly in resource limited settings. In this study, a deterministic dynamical system model is developed to assess the impact of key biomedical interventions on the transmission dynamics of HIV/AIDS. The well-posedness of the proposed model is established using the theory of positivity and boundedness of solutions. Analytical results show that the HIV/AIDS-free equilibrium is both locally and globally asymptotically stable whenever the effective reproduction number is less than unity ( $$\mathcal {R}_H^* < 1$$ ). Furthermore, the analysis reveals that in the presence of antiretroviral therapy (ART) defaulting, the model may exhibit a backward bifurcation. Such a result provides a plausible explanation for the sustained transmission of HIV at the national level despite achieving the effective reproduction number less than unity. In contrast, under conditions of full adherence (100%) to ART, the model exhibits a forward bifurcation, whereby the HIV/AIDS-free equilibrium is stable whenever $$\mathcal {R}_H^* < 1$$ and loses stability as $$\mathcal {R}_H^*$$ exceeds unity. Sensitivity analysis of the effective reproduction number highlights the importance of increased ART uptake across all stages of infection, together with expanded coverage of pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP), as critical strategies for reducing HIV transmission. These findings are further supported by numerical simulations. A key outcome of the study indicates that ART defaulting has the greatest impact in increasing the infectious population. While promoting ART uptake remains essential, strengthening community education on sustained adherence to ART is even more critical for achieving the World Health Organization (WHO) 90-90-90 targets.

Authors

Institutions

Publication Details

Journal
Discover Public Health
Published
2026-08-26
DOI
https://doi.org/10.1186/s12982-026-02691-7
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling the impact of biomedical prevention on HIV/AIDS transmission dynamics

Michael Byamukama, Jeninah Atwebembeire, Kizito Mohammed, Arthur Mugisha et al.
Discover Public Health
Mathematical and Theoretical Epidemiology and Ecology Models
article

Modeling the impact of biomedical prevention on HIV/AIDS transmission dynamics

Michael Byamukama, Jeninah Atwebembeire, Kizito Mohammed, Arthur Mugisha, Ronald Mwesigwa
article en

Abstract

The HIV/AIDS epidemic has significantly reshaped global public health priorities, prompting unprecedented investments in research, treatment programs, and prevention strategies. Despite these efforts, the disease continues to place substantial pressure on healthcare systems, particularly in resource limited settings. In this study, a deterministic dynamical system model is developed to assess the impact of key biomedical interventions on the transmission dynamics of HIV/AIDS. The well-posedness of the proposed model is established using the theory of positivity and boundedness of solutions. Analytical results show that the HIV/AIDS-free equilibrium is both locally and globally asymptotically stable whenever the effective reproduction number is less than unity ( $$\mathcal {R}_H^* < 1$$ ). Furthermore, the analysis reveals that in the presence of antiretroviral therapy (ART) defaulting, the model may exhibit a backward bifurcation. Such a result provides a plausible explanation for the sustained transmission of HIV at the national level despite achieving the effective reproduction number less than unity. In contrast, under conditions of full adherence (100%) to ART, the model exhibits a forward bifurcation, whereby the HIV/AIDS-free equilibrium is stable whenever $$\mathcal {R}_H^* < 1$$ and loses stability as $$\mathcal {R}_H^*$$ exceeds unity. Sensitivity analysis of the effective reproduction number highlights the importance of increased ART uptake across all stages of infection, together with expanded coverage of pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP), as critical strategies for reducing HIV transmission. These findings are further supported by numerical simulations. A key outcome of the study indicates that ART defaulting has the greatest impact in increasing the infectious population. While promoting ART uptake remains essential, strengthening community education on sustained adherence to ART is even more critical for achieving the World Health Organization (WHO) 90-90-90 targets.

Discover Public HealthVol. 23(1)
Mbarara University of Science and Technology (UG), Mbarara National Referral Hospital (UG)
Good health and well-being
Openalex Percentile: Top 8%
Mathematical and Theoretical Epidemiology and Ecology Models
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.