Evidence map›Paper›PMID 32601724›Full record

ArticleJournal of mathematical biology2020

Analysis and optimal control of an HIV model based on CD4 count.

A Ishaku, A M Gazali, S A Abdullahi, N Hussaini

Abstract read
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Article in Journal of mathematical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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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 at 3 institutions in 1 country.

A IshakuDepartment of Mathematical Science, Bayero University, Kano, Kano State, Nigeria.
A M GazaliDepartment of Mathematical Science, Bayero University, Kano, Kano State, Nigeria.
S A AbdullahiDepartment of Mathematical Science, Bayero University, Kano, Kano State, Nigeria.
N HussainiDepartment of Mathematical Science, Bayero University, Kano, Kano State, Nigeria. nhussaini.mth@buk.edu.ng.ORCID 0000-0002-9922-0454
Bayero University Kano · NGGombe State University · NGModibbo Adama University of Technology · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A non-linear mechanistic model for the transmission dynamics of HIV/AIDS is developed and analyzed. The model classified the infected individuals based on their CD4 count level. Furthermore, education campaign, voluntary testing and counseling and treatment are considered as intervention strategies for controlling the disease. The analysis of the model reveals that imperfect public enlightenment campaign can induce backward bifurcation. It has been shown that when public enlightenment campaign is [Formula: see text] effective, the disease free equilibrium is globally asymptotically stable for [Formula: see text], whereas for [Formula: see text] the global stability of the endemic equilibrium is proved only in a special case. Time dependent controls of the intervention strategies mentioned above are incorporated into the model and the optimal control strategies with minimal implementation cost are identified. In addition, cost effectiveness analysis in the form of incremental cost effectiveness ratio is carried-out to identify the most cost effective strategies. The results suggest that out of the three non dominated strategies, the strategy of educating the newly entrants only or combination of newly entrants and susceptible individuals is very cost effective using per capita GDP of Nigeria as at 2018. However, the choice of which strategy to implement depends on budgetary allocation and resource availability.

Indexed as

CD4 Lymphocyte CountHIV InfectionsModels, BiologicalCost-Benefit AnalysisHumansNigeriaCD4 countCost effectiveness analysisOptimal controlStability analysis

Identifiers

PMID32601724
OpenAlexW3040640491

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.