Evidence map›Paper›PMID 40777964›Full record

ArticleAfrican health sciences2024

Spatio-temporal characterization of malaria prevalence in a peri-urban resource limited setting of 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.

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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

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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 MuzameDepartment of Biological Sciences, School of Natural Sciences, Masinde Muliro University of Science and Technology (MMUST), P.O.Box 190-50100, Kakamega, Kenya.
Elizabeth OmukundaDepartment of Biological Sciences, School of Natural Sciences, Masinde Muliro University of Science and Technology (MMUST), P.O.Box 190-50100, Kakamega, Kenya.
David MulamaDepartment of Biological Sciences, School of Natural Sciences, Masinde Muliro University of Science and Technology (MMUST), P.O.Box 190-50100, Kakamega, Kenya.
Patrick OkothDepartment of Biological Sciences, School of Natural Sciences, Masinde Muliro University of Science and Technology (MMUST), P.O.Box 190-50100, Kakamega, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Malaria is the main killer disease in sub-Sahara Africa. Objective: The study identified malaria prevalence patterns in relation to space and time trends in a peri-urban resource limited setting of Western Kenya highlands aimed at strengthening implementation of malaria control strategies. Method: A longitudinal study was carried out in Mbale town and its environs, Vihiga County, from December 2019 to November 2020. Among patients who presented themselves at Mbale Provincial Rural Training health center for different medical issues, 768 malaria confirmed patients were recruited and signed consent before the study commenced. Data was collected using questionnaire and microscopy which was presented through graphs, frequency, means and analyzed using linear regression. P-value ≤ 0.05 was considered statistically significant. Results: Conclusion: Spatio-temporal characterization and many mosquito breeding grounds influenced malaria prevalence in the study area. Malaria control strategies should be strengthened in relation to space and time-trend.

Indexed as

MalariaAdolescentAdultAnimalsChildChild, PreschoolFemaleHumansInfantKenyaLongitudinal StudiesMalaria, FalciparumMaleMiddle AgedPrevalenceSeasonsdemographic factorsmalaria prevalencePlasmodium speciessocio-economic factorsspacetime trend

Identifiers

PMID40777964
PMCPMC12327125

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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.