dc.contributorUniversidad EAFIT. Departamento de Ciencias
dc.contributorMatemáticas y Aplicaciones
dc.creatorLizarralde-Bejarano, D.P.
dc.creatorArboleda-Sánchez, S.
dc.creatorPuerta-Yepes, M.E.
dc.creatorLizarralde-Bejarano, D.P.
dc.creatorArboleda-Sánchez, S.
dc.creatorPuerta-Yepes, M.E.
dc.date.accessioned2021-04-12T14:04:21Z
dc.date.accessioned2022-09-23T20:23:15Z
dc.date.available2021-04-12T14:04:21Z
dc.date.available2022-09-23T20:23:15Z
dc.date.created2021-04-12T14:04:21Z
dc.date.issued2017-03-01
dc.identifier0307904X
dc.identifierWOS;000392792500038
dc.identifierSCOPUS;2-s2.0-85006839793
dc.identifierhttp://hdl.handle.net/10784/27701
dc.identifier10.1016/j.apm.2016.11.022
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3512244
dc.description.abstractDengue 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 Basic 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. © 2016 Elsevier Inc.
dc.languageeng
dc.publisherElsevier Inc.
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85006839793&doi=10.1016%2fj.apm.2016.11.022&partnerID=40&md5=01fc6d58e8b7d361510810fde6eaefd5
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/0307-904X
dc.sourceAPPLIED MATHEMATICAL MODELLING
dc.subjectDifferential equations
dc.subjectEpidemiology
dc.subjectMathematical models
dc.subjectOrdinary differential equations
dc.subjectPopulation statistics
dc.subjectViruses
dc.subjectBasic reproductive number
dc.subjectControl measures
dc.subjectDengue epidemic
dc.subjectEconomic impacts
dc.subjectInfection force
dc.subjectMosquito populations
dc.subjectReproductive basic number
dc.subjectVirus transmission
dc.subjectDisease control
dc.titleUnderstanding epidemics from mathematical models: Details of the 2010 dengue epidemic in Bello (Antioquia, Colombia)
dc.typearticle
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typepublishedVersion


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