Evidence map›Paper›PMID 34795726›Full record

ArticleAfrican health sciences2021

Prediction of prevalence of type 2 diabetes in Rwanda using the metropolis-hasting sampling.

Angelique Dukunde, Jean Marie Ntaganda, Juma Kasozi, Joseph Nzabanita

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In one paragraph

Article in African health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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.

Angelique DukundeUniversity of Rwanda, College of Business and Economics, African Center of Excellence in Data Science (ACE-DS).
Jean Marie NtagandaUniversity of Rwanda, College of Science and Technology, School of Science, Department of Mathematics.
Juma KasoziMakerere University, College of Natural Sciences, Department of Mathematics.
Joseph NzabanitaUniversity of Rwanda, College of Science and Technology, School of Science, Department of Mathematics.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we predict the prevalence of type 2 diabetes among adult Rwandan people. We used the Metropolis-Hasting method that involved calculating the metropolis ratio. The data are those reported by World Health Organiation in 2015. Considering Suffering from diabetes, Overweight, Obesity, Dead and other subject as states of mathematical model, the transition matrix whose elements are probabilities is generated using Metropolis-Hasting sampling. The numerical results show that the prevalence of type 2 diabetes increases from 2.8% in 2015 to reach 12.65% in 2020 and to 22.59% in 2025. Therefore, this indicates the urgent need of prevention by Rwandan health decision makers who have to play their crucial role in encouraging for example physical activity, regular checkups and sensitization of the masses.

Indexed as

Models, TheoreticalAlgorithmsDiabetes Mellitus, Type 2HumansMarkov ChainsPrevalenceRwandaMarkov Chain Monte Carlo methodMetropolis-Hasting methodNon communicable diseasesTransition probabilitiestype 2 diabetes

Identifiers

PMID34795726
PMCPMC8568256

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Registered trials

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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.