Evidence map›Paper›PMID 33898652›Full record

ArticleInternational journal of applied and computational mathematics2021

Modeling the Dynamics of COVID-19 in Nigeria.

Matthew O Adewole, Akindele A Onifade, Farah A Abdullah, Funmilayo Kasali, Ahmad I M Ismail

Abstract read
In one paragraph

Article in International journal of applied and computational mathematics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  9. Impact of Infective Immigrants on COVID-19 Dynamics.Mathematical & computational applications · 2022
    Article
  10. Article
  11. Article
  12. A Mathematical Model of COVID-19 with Vaccination and Treatment.Computational and mathematical methods in medicine · 2021
    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

5 authors.

Matthew O AdewoleDepartment of Computer Science and Mathematics, Mountain Top University, Prayer City, Ogun State Nigeria.ORCID 0000-0002-9130-6739
Akindele A OnifadeDepartment of Computer Science and Mathematics, Mountain Top University, Prayer City, Ogun State Nigeria.
Farah A AbdullahSchool of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia.
Funmilayo KasaliDepartment of Computer Science and Mathematics, Mountain Top University, Prayer City, Ogun State Nigeria.
Ahmad I M IsmailSchool of Mathematical Sciences, Universiti Sains Malaysia, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the dynamics of COVID-19 in Nigeria, a mathematical model which incorporates the key compartments and parameters regarding COVID-19 in Nigeria is formulated. The basic reproduction number is obtained which is then used to analyze the stability of the disease-free equilibrium solution of the model. The model is calibrated using data obtained from Nigeria Centre for Disease Control and key parameters of the model are estimated. Sensitivity analysis is carried out to investigate the influence of the parameters in curtailing the disease. Using Pontryagin's maximum principle, time-dependent intervention strategies are optimized in order to suppress the transmission of the virus. Numerical simulations are then used to explore various optimal control solutions involving single and multiple controls. Our results suggest that strict intervention effort is required for quick suppression of the disease.

Indexed as

Contact tracingCOVID-19Mass testingPontryagin’s maximum principlePrevention guidelines

Identifiers

PMID33898652
PMCPMC8053898

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.