Mathematical Model on the optimal control of HIV/AIDS transmission dynamics, incorporating the uninfected class after an effective exposure to the disease

In this work, we formulated a mathematical model on HIV/AIDS transmission dynamics that incorporates the post-contact control measure. The six important compartments of the model are: Susceptible, under-3-day Exposed, Exposed-Uninfected, Treatment, Pre-AIDS, and AIDS. The next-generation operator approach was used to obtain the effective reproduction number [Formula: see text]. From the stability analysis, it was established that the disease-free equilibrium point of the model is locally asymptotically stable when the reproduction number is less than one [Formula: see text], and that it has a unique endemic equilibrium whenever this number exceeds unity. In the optimal control model, both Pre-contact Preventive and Anti-retroviral therapy (ART) control measures were incorporated. Pontryagin's maximum principle was used to form an optimal system. Seven control strategies were considered. The most cost-effective control measure was identified to be 'the optimal application of Pre-contact preventive control measures'. In double control strategies, 'The combined use of Pre-contact Preventive and Anti-retroviral therapy' was also found to be better and most cost-effective than the other double control strategies in controlling the virus. The population dynamics of different classes with respect to the application of each of these strategies were simulated with MATLAB to assess the impact of these control measures on the control of the virus.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-04-15
DOI
https://doi.org/10.1371/journal.pone.0346773
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

Mathematical Model on the optimal control of HIV/AIDS transmission dynamics, incorporating the uninfected class after an effective exposure to the disease

Christopher Chukwuma Asogwa, Stephen Ekwueme Aniaku, Emmanuel Mbah, Obiageri Mary Joy Ezugorie
PLoS ONE
Mathematical and Theoretical Epidemiology and Ecology Models
article

Mathematical Model on the optimal control of HIV/AIDS transmission dynamics, incorporating the uninfected class after an effective exposure to the disease

Christopher Chukwuma Asogwa, Stephen Ekwueme Aniaku, Emmanuel Mbah, Obiageri Mary Joy Ezugorie
article en

Abstract

In this work, we formulated a mathematical model on HIV/AIDS transmission dynamics that incorporates the post-contact control measure. The six important compartments of the model are: Susceptible, under-3-day Exposed, Exposed-Uninfected, Treatment, Pre-AIDS, and AIDS. The next-generation operator approach was used to obtain the effective reproduction number [Formula: see text]. From the stability analysis, it was established that the disease-free equilibrium point of the model is locally asymptotically stable when the reproduction number is less than one [Formula: see text], and that it has a unique endemic equilibrium whenever this number exceeds unity. In the optimal control model, both Pre-contact Preventive and Anti-retroviral therapy (ART) control measures were incorporated. Pontryagin's maximum principle was used to form an optimal system. Seven control strategies were considered. The most cost-effective control measure was identified to be 'the optimal application of Pre-contact preventive control measures'. In double control strategies, 'The combined use of Pre-contact Preventive and Anti-retroviral therapy' was also found to be better and most cost-effective than the other double control strategies in controlling the virus. The population dynamics of different classes with respect to the application of each of these strategies were simulated with MATLAB to assess the impact of these control measures on the control of the virus.

PLoS ONEVol. 21(4)
University of Nigeria (NG), University of Ilorin (NG)
Good health and well-being
Openalex Percentile: Top 20%
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.