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A Discrete-Time Compartmental Epidemiological Model for COVID-19 with a Case Study for Portugal

dc.contributor.authorVaz, Sandra
dc.contributor.authorTorres, Delfim F. M.
dc.date.accessioned2022-11-21T17:04:18Z
dc.date.available2022-11-21T17:04:18Z
dc.date.issued2021-11-23
dc.description.abstractRecently, a continuous-time compartmental mathematical model for the spread of the Coronavirus disease 2019 (COVID-19) was presented with Portugal as case study, from 2 March to 4 May 2020, and the local stability of the Disease Free Equilibrium (DFE) was analysed. Here, we propose an analogous discrete-time model and, using a suitable Lyapunov function, we prove the global stability of the DFE point. Using COVID-19 real data, we show, through numerical simulations, the consistence of the obtained theoretical results.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVaz, S.; Torres, D.F.M. A Discrete-Time Compartmental Epidemiological Model for COVID-19 with a Case Study for Portugal. Axioms 2021, 10, 314. https:// doi.org/10.3390/axioms10040314pt_PT
dc.identifier.doi10.3390/axioms10040314pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/12424
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCenter of Mathematics and Applications of University of Beira Interior
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMathematical modellingpt_PT
dc.subjectEpidemiologypt_PT
dc.subjectCOVID-19 pandemicpt_PT
dc.subjectQualitative theorypt_PT
dc.subjectLyapunov functionspt_PT
dc.subjectNumerical simulations with real datapt_PT
dc.titleA Discrete-Time Compartmental Epidemiological Model for COVID-19 with a Case Study for Portugalpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter of Mathematics and Applications of University of Beira Interior
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00212%2F2020/PT
oaire.citation.issue4pt_PT
oaire.citation.startPage314pt_PT
oaire.citation.titleAxiomspt_PT
oaire.citation.volume10pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameVaz
person.familyNameTorres
person.givenNameSandra
person.givenNameDelfim F. M.
person.identifier1931565
person.identifier584677
person.identifier.ciencia-id2D10-D257-281D
person.identifier.ciencia-id911F-2677-3E84
person.identifier.orcid0000-0002-1507-2272
person.identifier.orcid0000-0001-8641-2505
person.identifier.ridAFT-2191-2022
person.identifier.scopus-author-id56150121900
person.identifier.scopus-author-id7102800859
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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