Multilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombia

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dc.contributor.authorOrdoñez Sierra, Gustavo
dc.contributor.authorSarmiento Senior, Diana
dc.contributor.authorJaramillo Gomez, Juan Felipe
dc.contributor.authorGiraldo, Paola
dc.contributor.authorPorras Ramírez, Alexandra
dc.contributor.authorOlano, Víctor Alberto
dc.contributor.orcidOrdoñez Sierra, Gustavo [0000-0003-2178-5946]
dc.contributor.orcidSarmiento Senior, Diana [0000-0002-9959-3226]
dc.contributor.orcidOlano, Víctor Alberto [0000-0003-4010-0973]
dc.date.accessioned2022-02-02T20:31:09Z
dc.date.available2022-02-02T20:31:09Z
dc.date.issued2021
dc.description.abstractenglishAccording to the World Health Organization, dengue is a neglected tropical disease. Latin America, specifically Colombia is in alert regarding this arbovirosis as there was a spike in the number of reported dengue cases at the beginning of 2019. Although there has been a worldwide decrease in the number of reported dengue cases, Colombia has shown a growing trend over the past few years. This study performed a Poisson multilevel analysis with mixed effects on STATA® version 16 and R to assess sociodemographic, climatic, and entomological factors that may influence the occurrence of dengue in three municipalities for the period 2010–2015. Information on dengue cases and their sociodemographic variables was collected from the National Public Health Surveillance System (SIVIGILA) records. For climatic variables (temperature, relative humidity, and precipitation), we used the information registered by the weather stations located in the study area, which are managed by the Instituto de Hidrologia, Meteorologia y Estudios Ambientales (IDEAM) or the Corporaci´on Aut´onoma Regional (CAR). The entomological variables (house index, container index, and Breteau index) were provided by the Health office of the Cundinamarca department. SIVIGILA reported 1921 dengue cases and 56 severe dengue cases in the three municipalities; of them, three died. One out of four cases occurred in rural areas. The age category most affected was adulthood, and there were no statistical differences in the number of cases between sexes. The Poisson multilevel analysis with the best fit model explained the presentation of cases were temperature, relative humidity, precipitation, childhood, live in urban area and the contributory healthcare system. The temperature had the biggest influence on the presentation of dengue cases in this region between 2010 and 2015.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1016/J.ONEHLT.2021.100234
dc.identifier.instnameinstname:Universidad El Bosquespa
dc.identifier.issn2352-7714
dc.identifier.reponamereponame:Repositorio Institucional Universidad El Bosquespa
dc.identifier.repourlrepourl:https://repositorio.unbosque.edu.co
dc.identifier.urihttps://hdl.handle.net/20.500.12495/6717
dc.language.isoeng
dc.publisherElsevier B.V.spa
dc.publisher.journalOne Healthspa
dc.relation.ispartofseriesOne Health, 2352-7714, Volume 12, June 2021, 100234spa
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2352771421000240
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.accessrightshttps://purl.org/coar/access_right/c_abf2
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.accessrightsAcceso abierto
dc.rights.localAcceso abiertospa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAnálisis multinivel de Poissonspa
dc.subjectClimaspa
dc.subjectTemperaturaspa
dc.subjectZona tropicalspa
dc.subject.keywordsDenguespa
dc.subject.keywordsPoisson multilevel analysisspa
dc.subject.keywordsClimatespa
dc.subject.keywordsTemperaturespa
dc.subject.keywordsTropical zonespa
dc.titleMultilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombiaspa
dc.title.translatedMultilevel analysis of social, climatic and entomological factors that influenced dengue occurrence in three municipalities in Colombiaspa
dc.type.coarhttps://purl.org/coar/resource_type/c_6501
dc.type.driverinfo:eu-repo/semantics/article
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.type.localArtículo de revista

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