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Ecological niche modelling for predicting the risk of cutaneous leishmaniasis in the Neotropical moist forest biome

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dc.creatorChavy, Agathespa
dc.creatorNava, Alessandra Ferreira Dalesspa
dc.creatorLuz, Sergio Luiz Bessaspa
dc.creatorRamírez, Juan Davidspa
dc.creatorHerrera, Giovannyspa
dc.creatordos Santos, Thiago Vasconcelosspa
dc.creatorGinouves, Marinespa
dc.creatorDemar, Magaliespa
dc.creatorPrévot, Ghislainespa
dc.creatorGuégan, Jean-Françoisspa
dc.creatorde Thoisy, Benoîtspa
dc.date.accessioned2020-05-25T23:58:13Z
dc.date.available2020-05-25T23:58:13Z
dc.date.created2019spa
dc.description.abstractA major challenge of eco-epidemiology is to determine which factors promote the transmission of infectious diseases and to establish risk maps that can be used by public health authorities. The geographic predictions resulting from ecological niche modelling have been widely used for modelling the future dispersion of vectors based on the occurrence records and the potential prevalence of the disease. The establishment of risk maps for disease systems with complex cycles such as cutaneous leishmaniasis (CL) can be very challenging due to the many inference networks between large sets of host and vector species, with considerable heterogeneity in disease patterns in space and time. One novelty in the present study is the use of human CL cases to predict the risk of leishmaniasis occurrence in response to anthropogenic, climatic and environmental factors at two different scales, in the Neotropical moist forest biome (Amazonian basin and surrounding forest ecosystems) and in the surrounding region of French Guiana. With a consistent data set never used before and a conceptual and methodological framework for interpreting data cases, we obtained risk maps with high statistical support. The predominantly identified human CL risk areas are those where the human impact on the environment is significant, associated with less contributory climatic and ecological factors. For both models this study highlights the importance of considering the anthropogenic drivers for disease risk assessment in human, although CL is mainly linked to the sylvatic and peri-urban cycle in Meso and South America. © 2019 Chavy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1371/journal.pntd.0007629
dc.identifier.issn19352727
dc.identifier.issn19352735
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22824
dc.language.isoengspa
dc.publisherPublic Library of Sciencespa
dc.relation.citationIssueNo. 8
dc.relation.citationTitlePLoS Neglected Tropical Diseases
dc.relation.citationVolumeVol. 13
dc.relation.ispartofPLoS Neglected Tropical Diseases, ISSN:19352727, 19352735, Vol.13, No.8 (2019)spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071281120&doi=10.1371%2fjournal.pntd.0007629&partnerID=40&md5=f03ac3ae5702f29fe49d0a63e2791651spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordAltitudespa
dc.subject.keywordcutaneouseng
dc.subject.keywordAnthropologyspa
dc.subject.keywordBiomassspa
dc.subject.keywordBiomespa
dc.subject.keywordClimatespa
dc.subject.keywordDisease transmissionspa
dc.subject.keywordEcological nichespa
dc.subject.keywordEcological phenomena and functionsspa
dc.subject.keywordEnvironmental temperaturespa
dc.subject.keywordGeographic distributionspa
dc.subject.keywordHumanspa
dc.subject.keywordHuman footprintspa
dc.subject.keywordIncidencespa
dc.subject.keywordNeotropicsspa
dc.subject.keywordPopulation densityspa
dc.subject.keywordPovertyspa
dc.subject.keywordPredictionspa
dc.subject.keywordSeasonal variationspa
dc.subject.keywordSkin leishmaniasisspa
dc.subject.keywordSpecies richnessspa
dc.subject.keywordTropical rain forestspa
dc.subject.keywordEcologyspa
dc.subject.keywordEcosystemspa
dc.subject.keywordForestspa
dc.subject.keywordFrench guianaspa
dc.subject.keywordPrevalencespa
dc.subject.keywordSeasonspa
dc.subject.keywordSkin leishmaniasisspa
dc.subject.keywordSouth americaspa
dc.subject.keywordEcologyspa
dc.subject.keywordEcosystemspa
dc.subject.keywordForestsspa
dc.subject.keywordFrench guianaspa
dc.subject.keywordHumansspa
dc.subject.keywordLeishmaniasiseng
dc.subject.keywordPrevalencespa
dc.subject.keywordSeasonsspa
dc.subject.keywordSouth americaspa
dc.titleEcological niche modelling for predicting the risk of cutaneous leishmaniasis in the Neotropical moist forest biomespa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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