Evidence map›Paper›PMID 40809559›Full record

ArticleAfrican health sciences2024

Effect of Socio-economic factors on malaria prevalence in a Peri-urban setting in Vihiga County, Western Kenya Highlands.

Beatrice Aleyo Muzame, Elizabeth Omukunda, David Mulama, Patrick Okoth

Abstract read
In one paragraph

Article in African health sciences, 2024. 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
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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.

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

4 authors.

Beatrice Aleyo Muzame
Elizabeth Omukunda
David Mulama
Patrick Okoth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria is the leading cause of mortality in sub-Saharan Africa. Objective: The study assessed the effect of socio-economic factors on high malaria prevalence in a peri-urban setting in Vihiga County, Western Kenya highlands aimed at strengthening implementation of cost-effective malaria control strategies at household level. Method: A longitudinal study was carried out in the study area from December 2019 to November 2020. From patients who presented themselves at Mbale Provincial Rural Training health centre for various treatments, 768 malaria confirmed patients were recruited and signed consent before the study commenced. Data was collected using microscopy and structured questionnaires used to stratify malaria patients into socio-economic status and their residence. Data was presented through graphs, frequency, analyzed using linear regression and correlation. P-value ≤ 0.05as considered statistically significant. Results: Linear regression analysis showed effect of socio-economic factors on malaria prevalence was statistically significant, R2 = 0.061, [F (7,760) = 7.063], p < 0.0001). Level of education, wealth, land size, house type and house ventilation were statistically significant to malaria prevalence as opposed to salary and household size. Conclusion: Socio-economic factors influenced malaria prevalence in the study area. Implementation of cost-effective malaria control strategies should be strengthened at household level.

Indexed as

MalariaSocioeconomic FactorsAdolescentAdultChildChild, PreschoolFamily CharacteristicsFemaleHumansKenyaLongitudinal StudiesMaleMiddle AgedPrevalenceRural PopulationYoung Adulthousehold levelmalaria control strategiesMalaria prevalencemosquitoes breeding sitessocio-economic factors

Identifiers

PMID40809559
PMCPMC12341167

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.