Evidence map›Paper›PMID 40420055›Full record

ArticleMalaria journal2025

Spatiotemporal analysis of Anopheles gambiae larval sites and malaria transmission in Djilakh, Central Senegal.

Assane Ndiaye, Camille Morlighem, Aminata Niang Diène, Moussa Kane, Abdoulaye Diallo, Fassiatou Tairou, Mohamed Abderemane Nourdine, Pape Cheikh Sarr, Lassana Konaté, Ousmane Faye and 4 more

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Physicochemical Properties ofTropical medicine and infectious disease · 2026
    Article
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

14 authors.

Assane NdiayeFaculté des Lettres et Sciences Humaines, Département de Géographie, Université Cheikh Anta Diop, Dakar, Sénégal. ndiayeassane8888@gmail.com.
Camille MorlighemDepartment of Geography, University of Namur, 5000, Namur, Belgium.
Aminata Niang DièneFaculté des Lettres et Sciences Humaines, Département de Géographie, Université Cheikh Anta Diop, Dakar, Sénégal.
Moussa KaneComputer Science Section, Department of Mathematics and Computer Science at UCAD, Université Cheikh Anta Diop, Dakar, Sénégal.
Abdoulaye DialloFaculté de Médecine, Laboratoire de Parasitologie Médicale, Pharmacie et d'Odonto-stomatologie, MARCAD Programme, Université Cheikh Anta Diop, Dakar, Sénégal.
Fassiatou TairouFaculté de Médecine, Laboratoire de Parasitologie Médicale, Pharmacie et d'Odonto-stomatologie, MARCAD Programme, Université Cheikh Anta Diop, Dakar, Sénégal.
Mohamed Abderemane NourdineFaculté des Sciences et Techniques, Laboratoire d'Ecologie Vectorielle et Parasitaire, Université Cheikh Anta Diop, Dakar, Sénégal.
Pape Cheikh SarrFaculté des Sciences et Techniques, Laboratoire d'Ecologie Vectorielle et Parasitaire, Université Cheikh Anta Diop, Dakar, Sénégal.
Lassana KonatéFaculté des Sciences et Techniques, Laboratoire d'Ecologie Vectorielle et Parasitaire, Université Cheikh Anta Diop, Dakar, Sénégal.
Ousmane FayeFaculté des Sciences et Techniques, Laboratoire d'Ecologie Vectorielle et Parasitaire, Université Cheikh Anta Diop, Dakar, Sénégal.
Oumar GayeFaculté de Médecine, Laboratoire de Parasitologie Médicale, Pharmacie et d'Odonto-stomatologie, MARCAD Programme, Université Cheikh Anta Diop, Dakar, Sénégal.
El Hadji Amadou NiangFaculté des Sciences et Techniques, Laboratoire d'Ecologie Vectorielle et Parasitaire, Université Cheikh Anta Diop, Dakar, Sénégal.
Catherine LinardILEE University of Namur, 5000, Namur, Belgium.
Ousmane SyFaculté des Sciences et Techniques, Laboratoire d'Ecologie Vectorielle et Parasitaire, Université Cheikh Anta Diop, Dakar, Sénégal. syousmane7@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe progress made against malaria has resulted in a nationwide reduction of the disease burden in Senegal. The observed overall low transmission levels are, however, marked by an important spatial heterogeneity with hotspots subsisting in several parts of the country. This requires the determination of the local and regional factors of the observed disparities for tailored interventions to accelerate malaria elimination everywhere. This study aimed to demonstrate the role of larval breeding sites on malaria epidemiological trends in Djilakh, which is one of the malaria hotspots of the Mbour health district.

methodsThis study was carried out between 2013 and 2017, during the rainy season (June-November) of each year and surveys per year. The malaria incidence consisted of cases confirmed by RDT and climate data, including the rainfall were retrieved from the Mbour weather station. To assess the impact of larval breeding sites on malaria transmission in Djilakh village, logistic regression under the Poisson models were run. The QGIS 2.2.0 free mapping software was used to generate maps.

resultsThe results showed that mosquito breeding sites found within and in the vicinity of the study village consisted of natural temporary ponds, characterized by clay and clay-sandy soils. The analysis of meteorological and malaria morbidity indicated that malaria transmission is influenced by precipitation. The correlation between malaria morbidity and functioning breeding sites varied throughout the rainy season, depending on the size and stability of the existing breeding sites. The incidence of malaria cases was significantly higher (82.4%; 103/125; P < 0.011; OR = 27.006) in hamlets closer to the breeding sites (less than 500 m), declining gradually with distance with 17.6% (22/125) of the cases recorded in hamlets located between 500 and 1000 m apart from the larval habitats and, no cases in the most remote hamlets (> 1000 m).

conclusionsThese findings represent a preliminary step towards a better understanding of how the environmental factors influence the persistence of malaria transmission in the studied hotspot villages in Senegal. The generated results indicate a need for targeted control actions in the studied site.

Indexed as

AnophelesMalariaMosquito VectorsAnimalsHumansIncidenceLarvaRainSeasonsSenegalSpatio-Temporal AnalysisBreeding sitesHotspotsMalaria riskMappingSenegal

Identifiers

PMID40420055
PMCPMC12108010

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.