Evidence map›Paper›PMID 35663416›Full record

ArticleInformatics in medicine unlocked2022

HIV and COVID-19 co-infection: A mathematical model and optimal control.

N Ringa, M L Diagne, H Rwezaura, A Omame, S Y Tchoumi, J M Tchuenche

Abstract read
In one paragraph

Article in Informatics in medicine unlocked, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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  14. Analysis of HBV and COVID-19 Coinfection Model with Intervention Strategies.Computational and mathematical methods in medicine · 2023
    Article
  15. Article
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

6 authors.

N RingaData and Analytic Services, British Columbia Centre for Disease Control, 655 W 12th Ave, Vancouver, BC, Canada V5Z 4R4.
M L DiagneDépartement de Mathématiques, UFR des Sciences et Technologies, Université de Thiès, BP 967 Thiès, Senegal.
H RwezauraMathematics Department, University of Dar es Salaam, P.O. Box 35062, Dar es Salaam, Tanzania.
A OmameDepartment of Mathematics, Federal University of Technology, Owerri, Nigeria.
S Y TchoumiDepartment of Mathematics and Computer Sciences ENSAI, University of Ngaoundéré, P.O. Box 455 Ngaoundéré, Cameroon.
J M TchuencheSchool of Computer Science and Applied Mathematics, University of the Witwatersrand, Private Bag 3, Wits 2050, Johannesburg, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new mathematical model for COVID-19 and HIV/AIDS is considered to assess the impact of COVID-19 on HIV dynamics and vice-versa. Investigating the epidemiologic synergy between COVID-19 and HIV is important. The dynamics of the full model is driven by that of its sub-models; therefore, basic analysis of the two sub-models; HIV-only and COVID-19 only is carried out. The basic reproduction number is computed and used to prove local and global asymptotic stability of the sub-models' disease-free and endemic equilibria. Using the

Indexed as

Basic reproduction numberCo-infectionCOVID-19HIVOptimal control

Identifiers

PMID35663416
PMCPMC9148865

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.