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dc.creatorSánchez Peña, Fabio Ariel
dc.creatorBarboza Chinchilla, Luis Alberto
dc.creatorBurton, David
dc.creatorCintrón Arias, Ariel
dc.date.accessioned2018-06-04T19:57:24Z
dc.date.available2018-06-04T19:57:24Z
dc.date.issued2018-06
dc.identifier.citationhttps://link.springer.com/article/10.1007/s11587-018-0362-3#citeases_ES
dc.identifier.issn1827-3491
dc.identifier.issn0035-5038
dc.identifier.urihttp://hdl.handle.net/10669/74841
dc.description.abstractFor decades, dengue virus has been a cause of major public health concern in Costa Rica, due to its landscape and climatic conditions that favor the circumstances in which the vector, Aedes aegypti, thrives. The emergence and introduction throughout tropical and subtropical countries of the chikungunya virus, as of 2014, challenged Costa Rican health authorities to provide a correct diagnosis since it is also transmitted by the same vector and infected hosts may share similar symptoms. We study the 2015–2016 dengue and chikungunya outbreaks in Costa Rica while establishing how point estimates of epidemic parameters for both diseases compare to one another. Longitudinal weekly incidence reports of these outbreaks signal likely misdiagnosis of infected individuals: underreporting of chikungunya cases, while overreporting cases of dengue. Our comparative analysis is formulated with a single-outbreak deterministic model that features an undiagnosed class. Additionally, we also used a genetic algorithm in the context of weighted least squares to calculate point estimates of key model parameters and initial conditions, while formally quantifying misdiagnosis.es_ES
dc.language.isoen_USes_ES
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.sourceRicerche di Matematica, Vol. 67(1), p. 163-174es_ES
dc.subjectDenguees_ES
dc.subjectChikungunyaes_ES
dc.subjectSIR modeles_ES
dc.subjectVector-host systemes_ES
dc.subjectMathematical epidemiologyes_ES
dc.subjectParameter estimationes_ES
dc.subjectGenetic algorithmes_ES
dc.subject571.986 728 6 Vectores de enfermedadeses_ES
dc.subject92B05es_ES
dc.subject37N25es_ES
dc.subject62P10es_ES
dc.titleComparative analysis of dengue versus chikungunya outbreaks in Costa Ricaes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.typeArtículo científicoes_ES
dc.identifier.doi10.1007/s11587-018-0362-3
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Matemáticaes_ES
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Matemáticas Puras y Aplicadas (CIMPA)es_ES


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CC0 1.0 Universal
Except where otherwise noted, this item's license is described as CC0 1.0 Universal