Evidence map›Paper›PMID 37422504›Full record

ArticleScientific reports2023

Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies, South-Africa, 2015-2018: a local resurgence.

Sokhna Dieng, Temitope Christina Adebayo-Ojo, Taneshka Kruger, Megan Riddin, Helene Trehard, Serena Tumelero, Marc-Karim Bendiane, Christiaan de Jager, Sean Patrick, Riana Bornman and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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

11 authors at 3 institutions in 3 countries.

Sokhna DiengAix Marseille Univ, IRD, INSERM, ISSPAM, SESSTIM, 13005, Marseille, France. sdieng.stat@gmail.com.
Temitope Christina Adebayo-OjoSwiss Tropical and Public Health Institute, Basel, Switzerland.
Taneshka KrugerSchool of Health Systems and Public Health (SHSPH), University of Pretoria Institute for Sustainable Malaria Control (UP ISMC), University of Pretoria, Pretoria, South Africa.
Megan RiddinSchool of Health Systems and Public Health (SHSPH), University of Pretoria Institute for Sustainable Malaria Control (UP ISMC), University of Pretoria, Pretoria, South Africa.
Helene TrehardAix Marseille Univ, IRD, INSERM, ISSPAM, SESSTIM, 13005, Marseille, France.
Serena TumeleroAix Marseille Univ, IRD, INSERM, ISSPAM, SESSTIM, 13005, Marseille, France.
Marc-Karim BendianeAix Marseille Univ, IRD, INSERM, ISSPAM, SESSTIM, 13005, Marseille, France.
Christiaan de JagerSchool of Health Systems and Public Health (SHSPH), University of Pretoria Institute for Sustainable Malaria Control (UP ISMC), University of Pretoria, Pretoria, South Africa.
Sean PatrickSchool of Health Systems and Public Health (SHSPH), University of Pretoria Institute for Sustainable Malaria Control (UP ISMC), University of Pretoria, Pretoria, South Africa.
Riana BornmanSchool of Health Systems and Public Health (SHSPH), University of Pretoria Institute for Sustainable Malaria Control (UP ISMC), University of Pretoria, Pretoria, South Africa.
Jean GaudartAix Marseille Univ, IRD, INSERM, ISSPAM, SESSTIM, APHM, Hop. La Timone, BioSTIC, Biostatistic & ICT, 13005, Marseille, France.
Inserm · FRUniversity of Pretoria · ZASwiss Tropical and Public Health Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In South Africa, the population at risk of malaria is 10% (around six million inhabitants) and concern only three provinces of which Limpopo Province is the most affected, particularly in Vhembe District. As the elimination approaches, a finer scale analysis is needed to accelerate the results. Therefore, in the process of refining local malaria control and elimination strategies, the aim of this study was to identify and describe malaria incidence patterns at the locality scale in the Vhembe District, Limpopo Province, South Africa. The study area comprised 474 localities in Vhembe District for which smoothed malaria incidence curve were fitted with functional data method based on their weekly observed malaria incidence from July 2015 to June 2018. Then, hierarchical clustering algorithm was carried out considering different distances to classify the 474 smoothed malaria incidence curves. Thereafter, validity indices were used to determine the number of malaria incidence patterns. The cumulative malaria incidence of the study area was 4.1 cases/1000 person-years. Four distinct patterns of malaria incidence were identified: high, intermediate, low and very low with varying characteristics. Malaria incidence increased across transmission seasons and patterns. The localities in the two highest incidence patterns were mainly located around farms, and along the rivers. Some unusual malaria phenomena in Vhembe District were also highlighted as resurgence. Four distinct malaria incidence patterns were found in Vhembe District with varying characteristics. Findings show also unusual malaria phenomena in Vhembe District that hinder malaria elimination in South Africa. Assessing the factors associated with these unusual malaria phenome would be helpful on building innovative strategies that lead South Africa on malaria elimination.

Indexed as

MalariaAlgorithmsHumansIncidenceSeasonsSouth Africa

Identifiers

PMID37422504
PMCPMC10329648
OpenAlexW4383621278

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.