Evidence map›Paper›PMID 40526781›Full record

ArticlePLoS neglected tropical diseases2025

Breaking down malaria outbreak: A multidisciplinary approach in a border village of French Guiana.

Hélène Tréhard, Guillaume Lacour, Emilie Mosnier, Amandine Guidez, Yanouk Epelboin, Yassamine Lazrek, Felix Djossou, Jean Gaudart, Isabelle Dusfour, Lise Musset

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. 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
–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

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

10 authors.

Hélène TréhardUMR1252 SESSTIM, Aix-Marseille Univ, Inserm, IRD, Aix Marseille Institute of Public Health ISSPAM, Marseille, France.ORCID 0000-0002-2356-2319
Guillaume LacourVectopôle Amazonien Emile Abonnenc, Institut Pasteur de la Guyane, Cayenne, Guyane, France.
Emilie MosnierUMR1252 SESSTIM, Aix-Marseille Univ, Inserm, IRD, Aix Marseille Institute of Public Health ISSPAM, Marseille, France.
Amandine GuidezVectopôle Amazonien Emile Abonnenc, Institut Pasteur de la Guyane, Cayenne, Guyane, France.
Yanouk EpelboinVectopôle Amazonien Emile Abonnenc, Institut Pasteur de la Guyane, Cayenne, Guyane, France.
Yassamine LazrekLaboratoire de parasitologie, World Health Organization Collaborating Center for Surveillance of Antimalarial Drug Resistance, Centre National de Référence du Paludisme, Institut Pasteur de la Guyane, Cayenne, Guyane, France.
Felix DjossouUnité des Maladies Infectieuses et Tropicales, Centre Hospitalier de Cayenne, French Guiana, France.
Jean GaudartAix Marseille Univ, INSERM, IRD, ISSPAM, SESSTIM, UMR1252, APHM, Hop Timone, BioSTIC, Biostatistic & ICT, Marseille, France.
Isabelle DusfourVectopôle Amazonien Emile Abonnenc, Institut Pasteur de la Guyane, Cayenne, Guyane, France.
Lise MussetLaboratoire de parasitologie, World Health Organization Collaborating Center for Surveillance of Antimalarial Drug Resistance, Centre National de Référence du Paludisme, Institut Pasteur de la Guyane, Cayenne, Guyane, France.

Funding

European Funds for Regional Development, Synergie fundingFrench Guiana Regional Health Agency
6 · The paper itself

Abstract

backgroundIsolated areas of malaria transmission can persist in countries nearing malaria elimination. To tailor interventions accordingly, smaller-scale surveillance and a deeper understanding of local conditions are needed, including human, environmental and vectorial parameters, and how these parameters interact. This study investigated the potential at-risk situations that could explain the dynamics of malaria persistence in an isolated recurrent high transmission area in French Guiana, using a transdisciplinary approach. METHODOLOGY/PRINCIPAL

findingsWe implemented an ancillary study in Trois-Palétuviers (200 inhabitants), an isolated village in French Guiana bordering Brazil. This was based on two cross-sectional surveys conducted from September to December in 2017 and 2018 that collected both malaria prevalence and behavioural data. Entomological data were collected using 4 Mosquito Magnet traps for three consecutive nights each month. A total of 182 participants were included. The median age was 12.5 years in 2017 (IQR [5;27]). Malaria PCR prevalence was 51% (n = 92) in 2017 and 16% (n = 30) in 2018. Almost all participants used bed nets (99%, n = 180) - but 88% had at least one factor of bed nets ineffectiveness (mainly inadequate drying and washing) -, 63% (n = 114) used indoor insecticides and 32% (n = 57) used skin repellents. Anopheles darlingi, representing 99.7% of the Anopheles caught, were captured throughout the night, with higher abundance in the evening and early morning. No An. darlingi were found in slash-and-burn fields. The high relative abundance of An. darlingi before bedtime exposed inhabitants to the vector's bites. CONCLUSIONS/SIGNIFICANCE: The absence of An. darlingi in expected locations, such as slash-and-burn fields, points to the complex ecology of malaria transmission and underscores the need for a nuanced understanding of environmental influences, with continuous surveillance. Cross-description of the data suggests a high risk of exposure to mosquito bites by residents before they are protected by bed nets. The inadequacy of anti-vectorial protective measures could be mitigated by education campaigns about protective tools, and by additional protective tools and a frequent distribution of bed nets.

Indexed as

Disease OutbreaksMalariaAdolescentAdultAnimalsAnophelesChildChild, PreschoolCross-Sectional StudiesFemaleFrench GuianaHumansInsecticide-Treated BednetsMaleMosquito ControlMosquito Vectors

Identifiers

PMID40526781
PMCPMC12212878

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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.