Evidence map›Paper›PMID 36698124›Full record

ArticleBMC public health2023

"A comparative analysis of risk factors of malaria" case study Gisagara and Bugesera District of Rwanda. RDHS 2014/2015. A retrospective study.

Emmanuel Kubana, Athanase Munyaneza, Steven Sande, Felix Nduhuye, Jean Bosco Karangwa, David Mwesigye, Emmanuel Ndagijimana, Samuel Habimana, Cyprien Munyanshongore

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Emmanuel KubanaCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda. emmakube@gmail.com.
Athanase MunyanezaCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Steven SandeCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Felix NduhuyeCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Jean Bosco KarangwaCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
David MwesigyeCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Emmanuel NdagijimanaCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Samuel HabimanaCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
Cyprien MunyanshongoreCollege of Medicine & Health Sciences, University of Rwanda, Kigali, Rwanda.
University of Rwanda · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a public health concern worldwide. A figure of 3.2 billion people is at risk of malaria a report of World Health Organization in 2013. A proportion of 89 and 91 cases of malaria reported during 2015 were respectively attributed to malaria cases and malaria deaths in Sub-Saharan Africa. Rwanda is among the Sub-Saharan Africa located in East Africa. The several reports indicate that from 2001 to 2011, malaria cases increased considerably especially in Eastern and Southern Province with five million cases. The affected districts included Bugesera in the Eastern and Gisagara in the Southern Province of Rwanda with a share of 41% of the country prevalence in 2014 and during 2017-2018 a figure of 11 deaths was attributed to malaria and both Gisagara and Bugesera Districts were the high burdened. METHODOLOGY: The RDHS 2014-2015 data was used for the study and a cross-sectional survey was used in which two clusters were considered both Gisagara and Bugesera Districts in the Southern and Eastern Province of Rwanda. Bivariate analysis was used to determine the significant predictors with malaria and reduced logistic regression model was used.

resultsThe results of the study show that not having mosquito bed nets for sleeping is 0.264 times less likely of having malaria than those who have mosquito bed nets in Gisagara District. In Bugesera District, living in low altitude is 2.768 times more likely associated with the risk of getting malaria than living in high altitude.

conclusionThe results of the study concluded that environmental and geographical factor such as low altitude is the risk factor associated with malaria than the high altitude in Bugesera District. While not having mosquito bed nets for sleeping is the protective factor for malaria than those who have it in Gisagara District. On the other hand, socio-economic and demographic characteristics do not have any effect with malaria on the results of the study.

Indexed as

MalariaAnimalsCross-Sectional StudiesHumansRetrospective StudiesRisk FactorsRwandaCHWsICCM IRSLLITNMalariaRDHS 2014/2015Reduced logistic regressionRwanda

Identifiers

PMID36698124
PMCPMC9875440
OpenAlexW4317936665

What OpenQuestion holds

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LicenceCC BY
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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.