Evidence map›Paper›PMID 36819990›Full record

ArticleInformatics in medicine unlocked2023

Analysis of COVID-19 mathematical model for predicting the impact of control measures in Rwanda.

Lydie Mpinganzima, Jean Marie Ntaganda, Wellars Banzi, Jean Pierre Muhirwa, Betty Kivumbi Nannyonga, Japhet Niyobuhungiro, Eric Rutaganda

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Informatics in medicine unlocked, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 2 countries.

Lydie MpinganzimaDepartment of Mathematics, University of Rwanda, P.O. Box 3900, Kigali, Rwanda.
Jean Marie NtagandaDepartment of Mathematics, University of Rwanda, P.O. Box 3900, Kigali, Rwanda.
Wellars BanziDepartment of Mathematics, University of Rwanda, P.O. Box 3900, Kigali, Rwanda.
Jean Pierre MuhirwaDepartment of Mathematics, University of Rwanda, P.O. Box 3900, Kigali, Rwanda.
Betty Kivumbi NannyongaDepartment of Mathematics, School of Physical Sciences, College of Natural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.
Japhet NiyobuhungiroNational Council for Science and Technology, 13th Floor, Grand Pension Plaza KN 2 Avenue, Nyarugenge - Kigali - Rwanda, P.O. Box 2285, Kigali, Rwanda.
Eric RutagandaDepartment of Internal Medicine, Kigali University Teaching Hospital, P.O. Box 3286, Kigali, Rwanda.
University of Rwanda · RWMakerere University · UGUniversity of Kigali · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper shows the impact of control measures on the predictive COVID-19 mathematical model in Rwanda through sensitivity analysis of the basic reproduction number

Indexed as

Control measuresCovid-19R0Sensitivity analysis

Identifiers

PMID36819990
PMCPMC9930676
OpenAlexW4320487064

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.