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dc.contributor.authorRomero-Pacheco, David 
dc.contributor.authorOlivero-Anarte, Jesús 
dc.contributor.authorReal-Giménez, Raimundo 
dc.contributor.authorGuerrero, José Carlos
dc.date.accessioned2024-01-31T11:41:05Z
dc.date.available2024-01-31T11:41:05Z
dc.date.issued2019
dc.identifier.citationRomero D, Olivero J, Real R, Guerrero JC (2019) Applying fuzzy logic to assess the biogeographical risk of dengue in South America. Parasites & Vectors 12: 428.es_ES
dc.identifier.urihttps://hdl.handle.net/10630/29501
dc.description.abstractOver the last decade, reports about dengue cases have increase worldwide, which is particularly worrisome in South America due to the historic record of dengue outbreaks from the seventeenth century until the first half of the twentieth century. Dengue is a viral disease that involves insect vectors, namely Aedes aegypti and Ae. albopictus, which implies that, to prevent and combat outbreaks, it is necessary to understand the set of ecological and biogeographical factors affecting both the vector species and the virus. We contribute with a methodology based on fuzzy logic that is helpful to disentangle the main factors that determine favorable environmental conditions for vectors and diseases. Using favorability functions as fuzzy logic modelling technique and the fuzzy intersection, union and inclusion as fuzzy operators, we were able to specify the territories at biogeographical risk of dengue outbreaks in South America. Our results indicate that the distribution of Ae. aegypti mostly encompasses the biogeographical framework of dengue in South America, which suggests that this species is the principal vector responsible for the geographical extent of dengue cases in the continent. Nevertheless, the intersection between the favorability for dengue cases and the union of the favorability for any of the vector species provided a comprehensive map of the biogeographical risk for dengue. Fuzzy logic is an appropriate conceptual and operational tool to tackle the nuances of the vector-illness biogeographical interaction. The application of fuzzy logic may be useful in decision-making by the public health authorities to prevent, control and mitigate vector-borne diseases.es_ES
dc.description.sponsorshipDR was supported by a grant from the Agencia Nacional de Investigación e Innovación de Uruguay (ANII) (2016–2018), and from the Graduate Academic Commission (CAP, from Spanish acronym Comisión Académica de Posgrado) of the Universidad de la República (2018–2020). This study was supported by the project CGL2016-76747-R (Ministerio de Economía y Competitividad, España, y el Fondo Europeo de Desarrollo Regional, Unión Europea).es_ES
dc.language.isoenges_ES
dc.publisherBMC Springer Naturees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectBiogeografíaes_ES
dc.subject.otherPatogeografíaes_ES
dc.subject.otherEnfermedades zoonóticases_ES
dc.subject.otherOne Healthes_ES
dc.titleApplying fuzzy logic to assess the biogeographical risk of dengue in South Americaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.centroFacultad de Cienciases_ES
dc.identifier.doi10.1186/s13071-019-3691-5
dc.rights.ccAttribution-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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