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dc.creatorFokas, Athanassios S.es
dc.creatorCuevas-Maraver, Jesúses
dc.creatorKevrekidis, Panayotis G.es
dc.date.accessioned2020-10-01T08:55:03Z
dc.date.available2020-10-01T08:55:03Z
dc.date.issued2020-11
dc.identifier.citationFokas, A.S., Cuevas-Maraver, J. y Kevrekidis, P.G. (2020). A quantitative framework for exploring exit strategies from the COVID-19 lockdown. Chaos, Solitons and Fractals, 140 (November), 110244-.
dc.identifier.issn0960-0779es
dc.identifier.urihttps://hdl.handle.net/11441/101633
dc.description.abstractFollowing the highly restrictive measures adopted by many countries for combating the current pandemic, the number of individuals infected by SARS-CoV-2 and the associated number of deaths steadily decreased. This fact, together with the impossibility of maintaining the lockdown indefinitely, raises the crucial question of whether it is possible to design an exit strategy based on quantitative analysis. Guided by rigorous mathematical results, we show that this is indeed possible: we present a robust numerical algorithm which can compute the cumulative number of deaths that will occur as a result of increasing the number of contacts by a given multiple, using as input only the most reliable of all data available during the lockdown, namely the cumulative number of deaths.es
dc.formatapplication/pdfes
dc.format.extent14 p.es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofChaos, Solitons and Fractals, 140 (November), 110244-.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCOVID-19 Modelinges
dc.subjectOrdinary differential equationses
dc.subjectCumulative death modelinges
dc.subjectParameter estimation and optimizationes
dc.subjectLockdown exit strategieses
dc.titleA quantitative framework for exploring exit strategies from the COVID-19 lockdownes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Física Aplicada Ies
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0960077920306408?via%3Dihub#!es
dc.identifier.doi10.1016/j.chaos.2020.110244es
dc.contributor.groupUniversidad de Sevilla. FQM280: Física no Lineales
idus.validador.notaPreprintes
dc.journaltitleChaos, Solitons and Fractalses
dc.publication.volumen140es
dc.publication.issueNovemberes
dc.publication.initialPage110244es

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