Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/32952
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorArboleda Sánchez, Sair Orieta-
dc.contributor.authorLizarralde Bejarano, Diana Paola-
dc.contributor.authorPuerta Yepes, María Eugenia-
dc.date.accessioned2022-12-24T00:55:41Z-
dc.date.available2022-12-24T00:55:41Z-
dc.date.issued2017-
dc.identifier.citationLizarralde-Bejarano, D. P., Arboleda-Sánchez, S., & Puerta-Yepes, M. E. (2017). Understanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia). Applied Mathematical Modelling, 43, 566–578. https://doi.org/https://doi.org/10.1016/j.apm.2016.11.022spa
dc.identifier.issn0307-904X-
dc.identifier.urihttps://hdl.handle.net/10495/32952-
dc.description.abstractABSTRACT: Dengue is the most threatening vector-borne viral disease in Colombia. At the moment, there is no treatment or vaccine available for its control or prevention; therefore, the main measure is to exert control over mosquito population. To reduce the economic impact of control measures, it is important to focus on specific characteristics related to local dengue epidemiology at the local level, and know the main factors involved in an epidemic. To this end, we used a mathematical model based on ordinary differential equations and experimental data regarding mosquito populations from Bello (Antioquia, Colombia) to simulate the epidemic occurred in 2010. The results showed that the parameters to which the incidence of dengue cases are most sensitive are the biting and mortality rates of adult mosquitoes as well as the virus transmission probabilities. Finally, we found that the Ba- sic Reproductive Number (R0) of this epidemic was between 1.5 and 2.7, with an infection force () of 0.061, meaning that R0 values slightly above one are sufficient to result in a significant dengue outbreak in this region.spa
dc.format.extent12spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherElsevierspa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.titleUnderstanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia)spa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupBiología y Control de Enfermedades Infecciosasspa
dc.identifier.doi10.1016/j.apm.2016.11.022-
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
oaire.citationtitleApplied Mathematical Modellingspa
oaire.citationstartpage566spa
oaire.citationendpage578spa
oaire.citationvolume43spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.publisher.placeGuildford, Inglaterraspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.decsModelos Teóricos-
dc.subject.decsModels, Theoretical-
dc.subject.decsDengue-
dc.description.researchgroupidCOL0007865spa
dc.relation.ispartofjournalabbrevAppl. Math. Model.spa
Aparece en las colecciones: Artículos de Revista en Ciencias Exactas y Naturales

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
ArboledaSair_2017_UnderstandingEpidemicsFromMathematical.pdfArtículo de investigación1.41 MBAdobe PDFVisualizar/Abrir


Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.