Publication
A Discrete-Time Compartmental Epidemiological Model for COVID-19 with a Case Study for Portugal
dc.contributor.author | Vaz, Sandra | |
dc.contributor.author | Torres, Delfim F. M. | |
dc.date.accessioned | 2022-11-21T17:04:18Z | |
dc.date.available | 2022-11-21T17:04:18Z | |
dc.date.issued | 2021-11-23 | |
dc.description.abstract | Recently, 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.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Vaz, 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/axioms10040314 | pt_PT |
dc.identifier.doi | 10.3390/axioms10040314 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.6/12424 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.relation | Center of Mathematics and Applications of University of Beira Interior | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Mathematical modelling | pt_PT |
dc.subject | Epidemiology | pt_PT |
dc.subject | COVID-19 pandemic | pt_PT |
dc.subject | Qualitative theory | pt_PT |
dc.subject | Lyapunov functions | pt_PT |
dc.subject | Numerical simulations with real data | pt_PT |
dc.title | A Discrete-Time Compartmental Epidemiological Model for COVID-19 with a Case Study for Portugal | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Center of Mathematics and Applications of University of Beira Interior | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00212%2F2020/PT | |
oaire.citation.issue | 4 | pt_PT |
oaire.citation.startPage | 314 | pt_PT |
oaire.citation.title | Axioms | pt_PT |
oaire.citation.volume | 10 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Vaz | |
person.familyName | Torres | |
person.givenName | Sandra | |
person.givenName | Delfim F. M. | |
person.identifier | 1931565 | |
person.identifier | 584677 | |
person.identifier.ciencia-id | 2D10-D257-281D | |
person.identifier.ciencia-id | 911F-2677-3E84 | |
person.identifier.orcid | 0000-0002-1507-2272 | |
person.identifier.orcid | 0000-0001-8641-2505 | |
person.identifier.rid | AFT-2191-2022 | |
person.identifier.scopus-author-id | 56150121900 | |
person.identifier.scopus-author-id | 7102800859 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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