Evidence map›Paper›PMID 37197369›Full record

ArticleHealthcare analytics (New York, N.Y.)2023

A non-linear mathematical model for analysing the impact of COVID-19 disease on higher education in developing countries.

A Abidemi, J O Akanni, O D Makinde

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Healthcare analytics (New York, N.Y.), 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

A AbidemiDepartment of Mathematical Sciences, Federal University of Technology, Akure, Ondo State, Nigeria.
J O AkanniDepartment of Mathematical and Computing Sciences, Koladaisi University, Ibadan, Oyo State, Nigeria.
O D MakindeFaculty of Military Science, Stellenbosch University, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study proposes a non-linear mathematical model for analysing the effect of COVID-19 dynamics on the student population in higher education institutions. The theory of positivity and boundedness of solution is used to investigate the well-posedness of the model. The disease-free equilibrium solution is examined analytically. The next-generation operator method calculates the basic reproduction number

Indexed as

37N3549J1592B0592D30Cost-effectiveness analysisCOVID-19Higher educationMathematical modellingOptimal controlSensitivity analysis

Identifiers

PMID37197369
PMCPMC10174074

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.