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dc.contributor.authorNistal Riobello, Raúl ORCID
dc.contributor.authorDe la Sen Parte, Manuel ORCID
dc.contributor.authorGabirondo Aranguren, Jon ORCID
dc.contributor.authorAlonso Quesada, Santiago
dc.contributor.authorGarrido Hernández, Aitor Josu ORCID
dc.contributor.authorGarrido Hernández, Izaskun ORCID
dc.date.accessioned2021-03-02T10:56:11Z
dc.date.available2021-03-02T10:56:11Z
dc.date.issued2021-02-05
dc.identifier.citationBiology 10(2) : (2021) // Article ID 121es_ES
dc.identifier.issn2079-7737
dc.identifier.urihttp://hdl.handle.net/10810/50409
dc.description.abstractTwo discrete mathematical SIR models (Susceptible-Infectious-Recovered) are proposed for modelling the propagation of the SARS-CoV-2 (COVID-19) through Spain and Italy. One of the proposed models is delay-free while the other one considers a delay in the propagation of the infection. The objective is to estimate the transmission, also known as infectivity rate, through time taking into account the infection evolution data supplied by the official health care systems in both countries. Such a parameter is estimated through time at different regional levels and it is seen to be strongly dependent on the intervention measures such as the total (except essential activities) or partial levels of lockdown. Typically, the infectivity rate evolves towards a minimum value under total lockdown and it increases again when the confinement measures are partially or totally removed.es_ES
dc.description.sponsorshipThe authors are grateful to the institute Carlos III for grant COV20/01213, to the Spanish Government for Grants RTI2018- 094336-B-I00 and RTI2018-094902-B-C22 (MCIU/AEI/FEDER, UE) and to the Basque Government for Grant IT1207-19.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MCIU/ RTI2018- 094336-B-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MCIU/RTI2018-094902-B-C22es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectinfectious diseasees_ES
dc.subjectepidemiologyes_ES
dc.subjectmodelizationes_ES
dc.subjectdigital healthes_ES
dc.subjectCOVID-19es_ES
dc.subjectglobal healthes_ES
dc.titleA Modelization of the Propagation of COVID-19 in Regions of Spain and Italy with Evaluation of the Transmission Rates Related to the Intervention Measureses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-02-26T14:40:23Z
dc.rights.holder2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2079-7737/10/2/121/htmes_ES
dc.identifier.doi10.3390/biology10020121
dc.departamentoesElectricidad y electrónica
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoeuElektrizitatea eta elektronika
dc.departamentoeuSistemen ingeniaritza eta automatika


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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).