Evidence map›Paper›PMID 36644499›Full record

ArticleIJID regions2023

Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda.

Lydie Mpinganzima, Jean Marie Ntaganda, Wellars Banzi, Jean Pierre Muhirwa, Betty Kivumbi Nannyonga, Japhet Niyobuhungiro, Eric Rutaganda, Innocent Ngaruye, Denis Ndanguza, Joseph Nzabanita and 13 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IJID regions, 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

23 authors.

Lydie MpinganzimaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Jean Marie NtagandaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Wellars BanziDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Jean Pierre MuhirwaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Betty Kivumbi NannyongaDepartment of Mathematics, School of Physical Sciences, College of Natural Sciences, Makerere University, Kampala, Uganda.
Japhet NiyobuhungiroNational Council for Science and Technology, Kigali, Rwanda.
Eric RutagandaDepartment of Internal Medicine, Kigali University Teaching Hospital, Kigali, Rwanda.
Innocent NgaruyeDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Denis NdanguzaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Joseph NzabanitaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Emmanuel MasaboDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Marcel GahamanyiDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Justine DushimirimanaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Bosco NyandwiDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Célestin KurujyibwamiDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Léon Fidèle Uwimbabazi RuganzuDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Venuste NyagahakwaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Solange MukeshimanaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Jean Pierre NgendahayoDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Jean Paul NsabimanaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Jean De Dieu NiyigenaDepartment of Mathematics, School of Science, College of Science and Technology, University of Rwanda, Kigali, Rwanda.
Jeanne UwonkundaGreat Mind for Career Development Group Ltd, Kigali, Rwanda.
Isambi Sailon MbalawataAfrican Institute of Mathematical Sciences, NEI Global Secretariat, Kigali, Rwanda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Mathematical modelling is of interest to study the dynamics of coronavirus disease 2019 (COVID-19), and models such as SEIR (Susceptible-Exposed-Infected-Recovered) have been considered. This article describes the development of a compartmental transmission network model - Susceptible-Exposed-Quarantine-Infectious-Infectious, undetected-Infectious, home-based care-Hospitalized-Vaccinated-Recovered-Dead - to simulate the dynamics of COVID-19 in order to account for specific measures put into place by the Government of Rwanda to prevent further spread of the disease. Methods: The compartments of this model are connected by parameters, some of which are known from the literature, and others are estimated from available data using the least squares method. For the stability of the model, equilibrium points were determined and the basic reproduction number Results: The model showed that secondary infections are generated from the exposed group, the asymptomatic group, the infected (symptomatic) group, the infected (undetected) group, the infected (home-based care) group and the hospitalized group. The formulated model was reliable and fit the data. Furthermore, the estimated Conclusions: This article presents results regarding predicted spread of COVID-19 in Rwanda.

Indexed as

COVID-19Home-based careMetzler matrixUndetected infectionsVaccinated

Identifiers

PMID36644499
PMCPMC9827742

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.