Evidence map›Paper›PMID 25375173›Full record

ArticlePLoS neglected tropical diseases2014

Topography and land cover of watersheds predicts the distribution of the environmental pathogen Mycobacterium ulcerans in aquatic insects.

Kevin Carolan, Andres Garchitorena, Gabriel E García-Peña, Aaron Morris, Jordi Landier, Arnaud Fontanet, Philippe Le Gall, Gaëtan Texier, Laurent Marsollier, Rodolphe E Gozlan and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
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  3. Spatiotemporal distribution ofEmerging microbes & infections · 2025
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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

13 authors at 8 institutions in 3 countries.

Kevin CarolanUnité mixte de recherche (UMR) Maladies Infectieuses et Vecteurs: Écologie, Génétique, Evolution, et Contrôle (MIVEGEC) IRD-CNRS-Universities of Montpellier I and II, Centre IRD de Montpellier, Montpellier, France; UMR Territoires, Environnement, Télédétection et Information Spatiale (TETIS) CIRAD, Montpellier, France; Unité d'Epidémiologie de Maladies Emergentes, Institut Pasteur, Paris, France.
Andres GarchitorenaUnité mixte de recherche (UMR) Maladies Infectieuses et Vecteurs: Écologie, Génétique, Evolution, et Contrôle (MIVEGEC) IRD-CNRS-Universities of Montpellier I and II, Centre IRD de Montpellier, Montpellier, France; Ecole des Hautes Etudes en Santé Publique, Rennes, France.
Gabriel E García-PeñaUnité mixte de recherche (UMR) Maladies Infectieuses et Vecteurs: Écologie, Génétique, Evolution, et Contrôle (MIVEGEC) IRD-CNRS-Universities of Montpellier I and II, Centre IRD de Montpellier, Montpellier, France; Centre de Synthèse et d'Analyse sur la Biodiversité -CESAB. Bâtiment Henri Poincaré, Domaine du Petit Arbois. Aix-en-Provence, France.
Aaron MorrisUnité mixte de recherche (UMR) Maladies Infectieuses et Vecteurs: Écologie, Génétique, Evolution, et Contrôle (MIVEGEC) IRD-CNRS-Universities of Montpellier I and II, Centre IRD de Montpellier, Montpellier, France; Bournemouth University, School of Applied Sciences, Dorset, United Kingdom.
Jordi LandierUnité d'Epidémiologie de Maladies Emergentes, Institut Pasteur, Paris, France; Service d'épidémiologie et de santé publique, Centre Pasteur du Cameroun, Réseau International des Instituts Pasteur, Yaoundé, Cameroun.
Arnaud FontanetUnité d'Epidémiologie de Maladies Emergentes, Institut Pasteur, Paris, France; Chaire Santé et Développement, Conservatoire National des Arts et Métiers, Paris, France.
Philippe Le GallInstitut de Recherche pour le Développement (IRD), UR 072, Laboratoire Evolution, Génomes et Spéciation, UPR 9034, Centre National de la Recherche Scientifique (CNRS), Gif sur Yvette, France et Université Paris-Sud 11, Orsay, France.
Gaëtan TexierService d'épidémiologie et de santé publique, Centre Pasteur du Cameroun, Réseau International des Instituts Pasteur, Yaoundé, Cameroun; UMR 912 - SESSTIM - INSERM/IRD/Aix-Marseille Université Faculté de Médecine - 27, Marseille, France.
Laurent MarsollierATOMycA, Inserm Avenir Team, CRCNA, Inserm U892, 6299 CNRS and LUNAM, Angers, France.
Rodolphe E GozlanUnité mixte de recherche (UMR) Maladies Infectieuses et Vecteurs: Écologie, Génétique, Evolution, et Contrôle (MIVEGEC) IRD-CNRS-Universities of Montpellier I and II, Centre IRD de Montpellier, Montpellier, France; Bournemouth University, School of Applied Sciences, Dorset, United Kingdom; UMR 207 BOREA IRD-MNHN-Université Pierre et Marie Curie, Muséum National d'Histoire Naturelle, Paris, France.
Sara EyangohService de Mycobactériologie, Centre Pasteur du Cameroun, Réseau International des Instituts Pasteur, Yaoundé, Cameroun.
Danny Lo SeenUMR Territoires, Environnement, Télédétection et Information Spatiale (TETIS) CIRAD, Montpellier, France.
Jean-Francois GuéganUnité mixte de recherche (UMR) Maladies Infectieuses et Vecteurs: Écologie, Génétique, Evolution, et Contrôle (MIVEGEC) IRD-CNRS-Universities of Montpellier I and II, Centre IRD de Montpellier, Montpellier, France; Ecole des Hautes Etudes en Santé Publique, Rennes, France.
Institut de Recherche pour le Développement · FRCentre National de la Recherche Scientifique · FRCentre Pasteur du Cameroun · CMMaladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle · FRBournemouth University · GBCentre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers · FRConservatoire National des Arts et Métiers · FRTerritoires, Environnement, Télédétection et Information Spatiale

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn understanding of the factors driving the distribution of pathogens is useful in preventing disease. Often we achieve this understanding at a local microhabitat scale; however the larger scale processes are often neglected. This can result in misleading inferences about the distribution of the pathogen, inhibiting our ability to manage the disease. One such disease is Buruli ulcer, an emerging neglected tropical disease afflicting many thousands in Africa, caused by the environmental pathogen Mycobacterium ulcerans. Herein, we aim to describe the larger scale landscape process describing the distribution of M. ulcerans. METHODOLOGY: Following extensive sampling of the community of aquatic macroinvertebrates in Cameroon, we select the 5 dominant insect Orders, and conduct an ecological niche model to describe how the distribution of M. ulcerans positive insects changes according to land cover and topography. We then explore the generalizability of the results by testing them against an independent dataset collected in a second endemic region, French Guiana. PRINCIPAL

findingsWe find that the distribution of the bacterium in Cameroon is accurately described by the land cover and topography of the watershed, that there are notable seasonal differences in distribution, and that the Cameroon model does not predict the distribution of M. ulcerans in French Guiana. CONCLUSIONS/SIGNIFICANCE: Future studies of M. ulcerans would benefit from consideration of local structure of the local stream network in future sampling, and further work is needed on the reasons for notable differences in the distribution of this species from one region to another. This work represents a first step in the identification of large-scale environmental drivers of this species, for the purposes of disease risk mapping.

Indexed as

AnimalsBuruli UlcerCameroonDisease ReservoirsEnvironmentGeographic MappingInsectaMycobacterium ulcerans

Identifiers

PMID25375173
PMCPMC4222759
OpenAlexW2116250453

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.