Evidence map›Paper›PMID 34497662›Full record

ArticleComputational and mathematical methods in medicine2021

A Mathematical Model of COVID-19 with Vaccination and Treatment.

M L Diagne, H Rwezaura, S Y Tchoumi, J M Tchuenche

Open access · hybridAbstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
9.7field-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

39 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

  1. Pooled it
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  18. 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 4 institutions in 3 countries.

M L DiagneDepartement de Mathematiques, UFR des Sciences et Technologies, Universite de Thies, Thies, Senegal.ORCID https://orcid.org/0000-0001-7990-2047
H RwezauraMathematics Department, University of Dar es Salaam, P.O. Box 35062, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0003-1950-3284
S Y TchoumiDepartment of Mathematics and Computer Sciences ENSAI, University of Ngaoundere, P. O. Box 455 Ngaoundere, Cameroon.ORCID https://orcid.org/0000-0002-6704-2745
J M TchuencheSchool of Computational and Communication Sciences and Engineering, Nelson Mandela African Institution of Science and Technology, P.O. Box 447, Arusha, Tanzania.ORCID https://orcid.org/0000-0001-8655-6154
Nelson Mandela African Institution of Science and Technology · TZUniversité de Thiès · SNUniversity of Dar es Salaam · TZUniversity of Ngaoundéré · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We formulate and theoretically analyze a mathematical model of COVID-19 transmission mechanism incorporating vital dynamics of the disease and two key therapeutic measures-vaccination of susceptible individuals and recovery/treatment of infected individuals. Both the disease-free and endemic equilibrium are globally asymptotically stable when the effective reproduction number

Indexed as

Models, BiologicalBasic Reproduction NumberComputer SimulationCOVID-19COVID-19 VaccinesHumansMathematical ConceptsNonlinear DynamicsPandemicsPublic HealthSARS-CoV-2SenegalVaccinationCOVID-19 Vaccines

Identifiers

PMID34497662
PMCPMC8421179
OpenAlexW3198021708

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.