Evidence map›Paper›PMID 36106051›Full record

ArticlePhysica A2022

Nonlinear optimal control strategies for a mathematical model of COVID-19 and influenza co-infection.

Mayowa M Ojo, Temitope O Benson, Olumuyiwa James Peter, Emile Franc Doungmo Goufo

Open access · greenAbstract read
In one paragraph

Article in Physica A, 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
9.0field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 66 citations in OpenAlex.

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  11. A mathematical model for the co-dynamics of COVID-19 and tuberculosis.Mathematics and computers in simulation · 2023
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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 3 countries.

Mayowa M OjoThermo Fisher Scientific, Microbiology Division, Lenexa, KS, USA.
Temitope O BensonInstitute for Computational and Data Sciences, University at Buffalo, State University of New York, USA.
Olumuyiwa James PeterDepartment of Mathematical and Computer Sciences, University of Medical Sciences, Ondo City, Ondo State, Nigeria.
Emile Franc Doungmo GoufoDepartment of Mathematical Sciences, University of South Africa, Florida, South Africa.
University of South Africa · ZAUniversity at Buffalo, State University of New York · USUniversity of Medical Sciences, Ondo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases have remained one of humanity's biggest problems for decades. Multiple disease infections, in particular, have been shown to increase the difficulty of diagnosing and treating infected people, resulting in worsening human health. For example, the presence of influenza in the population is exacerbating the ongoing COVID-19 pandemic. We formulate and analyze a deterministic mathematical model that incorporates the biological dynamics of COVID-19 and influenza to effectively investigate the co-dynamics of the two diseases in the public. The existence and stability of the disease-free equilibrium of COVID-19-only and influenza-only sub-models are established by using their respective threshold quantities. The result shows that the COVID-19 free equilibrium is locally asymptotically stable when

Indexed as

Co-infectionCOVID-19InfluenzaOptimal controlReproduction number

Identifiers

PMID36106051
PMCPMC9461290
OpenAlexW4295903871

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.