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Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

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dc.creatorMarceló-Díaz, Catalinaspa
dc.creatorPorcasi, Ximenaspa
dc.creatorFrutos, Nicolásspa
dc.creatorFuya, Patriciaspa
dc.creatorCadena, Horaciospa
dc.creatorMorales Carlos Andrésspa
dc.creatorSantamaría Erikaspa
dc.creatorÁvila Díaz, Alvaro Javierspa
dc.creatorLesmes, María Camilaspa
dc.date.accessioned2025-07-21T16:35:28Z
dc.date.available2025-07-21T16:35:28Z
dc.date.created2025-01-23spa
dc.date.issued2025-01-23spa
dc.description.abstractThe potential of dengue infection is of prime public health concern in tropical and subtropical countries. In Colombia, the management of this disease is based mainly on epidemiological monitoring and vector control. This study, covering the period 2015-2022, adds to this approach by investigating a tool that identifies dengue risk zones considering its environmental and sociodemographic determinants. For this purpose, an analytical, comparative, ecological study was carried out in three stages: i) selection of indicators associated with the occurrence of dengue through hierarchical analysis; ii) execution of a spatial-based Ordinary Least Squares (OLS) regression technique; and iii) multi-criteria analysis of the risk data obtained. Consequently, two optimal models, one for the rainy season (R2=0.5761; AIC=366.3929) and the other for the dry season (R2=0.8560; AIC=440.7557) were obtained for the Dengue Incidence Rate (DIR) during the study period mainly based on socio-demographic and environmental variables. A dengue risk map was generated, showing the impact on three neighbourhoods in the municipality of Piamonte in the Cauca Department covering both seasons. In conclusion, the dengue risk map made it possible to identify highrisk areas and also to identify the determinants of disease occurrence, which can contribute to improving disease management in tropical and subtropical regions.eng
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.4081/gh.2025.1292spa
dc.identifier.issn1827-1987spa
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/46051
dc.language.isoengspa
dc.publisherPagepressspa
dc.relation.ispartofGeospatial Health 2025; volume 20:1292spa
dc.relation.urihttps://www.geospatialhealth.net/gh/article/view/1292spa
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccessspa
dc.rights.accesoAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.sourceGeospatial Healthspa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordSanidadeng
dc.subject.keywordDengueeng
dc.subject.keywordDecision makingeng
dc.subject.keywordEpidemiologyeng
dc.subject.keywordSpatial regressioneng
dc.subject.keywordColombiaeng
dc.titleDengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysisspa
dc.typearticlespa
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.type.spaArtículo de Investigaciónspa
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