Evidence map›Paper›PMID 41984918›Full record

ArticlePloS one2026

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, Obiageri Mary Joy Ezugorie, Emmanuel Mbah

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In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Christopher Chukwuma AsogwaDepartment of Mathematics, University of Nigeria, Nsukka, Nigeria.ORCID https://orcid.org/0000-0002-2710-9845
Stephen Ekwueme AniakuDepartment of Mathematics, University of Nigeria, Nsukka, Nigeria.
Obiageri Mary Joy EzugorieDepartment of Mathematics, University of Ilorin, Ilorin, Kwara State, Nigeria.
Emmanuel MbahDepartment of Mathematics, University of Nigeria, Nsukka, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsModels, TheoreticalHumans

Identifiers

PMID41984918
PMCPMC13082727

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