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dc.creatorCalvo Alpízar, Juan Gabriel
dc.creatorSánchez Peña, Fabio Ariel
dc.creatorBarboza Chinchilla, Luis Alberto
dc.creatorGarcía Puerta, Yury Elena
dc.creatorVásquez Brenes, Paola Andrea
dc.date.accessioned2022-09-07T14:08:03Z
dc.date.available2022-09-07T14:08:03Z
dc.date.issued2021
dc.identifier.citationhttps://arxiv.org/abs/2103.08843es_ES
dc.identifier.issn2331-8422
dc.identifier.urihttps://hdl.handle.net/10669/87315
dc.description.abstractWe present a numerical implementation for a multilayer network to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorporates different contact types between individuals (household, social and sporadic networks) and includes an SEIR-type model for the transmission of the virus. The algorithm described in this paper includes the main ideas of the model used to give public health authorities an additional tool for the decision-making process in Costa Rica by simulating extensive possible scenarios and projections. We include two simulations: a study of the effect of restrictions on the transmission of the virus and a Costa Rica case study that was shared with the Costa Rican health authorities.es_ES
dc.language.isoenges_ES
dc.sourcearXiv, p.1-12es_ES
dc.subjectMultilayer networkes_ES
dc.subjectEpidemic modelses_ES
dc.subjectCORONAVIRUSes_ES
dc.subjectEPIDEMICes_ES
dc.subjectCOVID-19es_ES
dc.titleA Multilayer Network Model implementation for COVID-19es_ES
dc.typeartículo preliminares_ES
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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