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dc.creatorSánchez Peña, Fabio Ariel
dc.creatorCalvo Alpízar, Juan Gabriel
dc.creatorMery, Gustavo
dc.creatorGarcía Puerta, Yury Elena
dc.creatorVásquez Brenes, Paola Andrea
dc.creatorBarboza Chinchilla, Luis Alberto
dc.creatorPérez Rosales, María Dolores
dc.creatorRivas, Tania
dc.date.accessioned2022-05-17T18:04:54Z
dc.date.available2022-05-17T18:04:54Z
dc.date.issued2022-05
dc.identifier.citationhttps://arxiv.org/abs/2109.04218es_ES
dc.identifier.urihttps://hdl.handle.net/10669/86596
dc.description.abstractSuccessful partnerships between researchers, experts, and public health authorities have been critical to navigate the challenges of the Covid-19 pandemic worldwide. In this collaboration, mathematical models have played a decisive role in informing public policy, with findings effectively translated into public health measures that have shaped the pandemic in Costa Rica. As a result of interdisciplinary and cross-institutional collaboration, we constructed a multilayer network model that incorporates a diverse contact structure for each individual. In July 2020, we used this model to test the effect of lifting restrictions on population mobility after a so-called “epidemiological fence” imposed to contain the country’s first big wave of cases. Later, in August 2020, we used it to predict the effects of an open and close strategy (the Hammer and Dance). Scenarios constructed in July 2020 showed that lifting restrictions on population mobility after less than three weeks of epidemiological fence would produce a sharp increase in cases. Results from scenarios in August 2020 indicated that the Hammer and Dance strategy would only work with 50% of the population adhering to mobility restrictions. The development, evolution, and applications of a multilayer network model of Covid-19 in Costa Rica has guided decision-makers to anticipate implementing sanitary measures and contributed to gain valuable time to increase hospital capacity.es_ES
dc.description.sponsorshipUniversidad de Costa Rica/[]/UCR/Costa Ricaes_ES
dc.description.sponsorshipOrganización Panamericana de la Salud/[]/OPS/OMS/Estados Unidoses_ES
dc.language.isoenges_ES
dc.sourcearXiv, pp.1-14.es_ES
dc.subjectNetwork Modeles_ES
dc.subjectPublic Healthes_ES
dc.subjectNon-pharmaceutical interventionses_ES
dc.subjectComputational Modeles_ES
dc.subjectCOVID-19es_ES
dc.titleA multilayer network model of Covid-19: implications in public health policy in Costa Ricaes_ES
dc.typepreprintes_ES
dc.identifier.doi10.48550/arXiv.2109.04218
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones en Matemáticas Puras y Aplicadas (CIMPA)es_ES
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Básicas::Facultad de Ciencias::Escuela de Matemáticaes_ES
dc.type.coarResource Types::texto::artículo preliminares_ES


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