Publicação
Modeling the COVID-19 post-pandemic spread
| datacite.subject.fos | Ciências Naturais::Matemáticas | |
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| dc.contributor.author | Balsa, Carlos | |
| dc.contributor.author | Padua, Everaldo | |
| dc.contributor.author | Pinto, Luan | |
| dc.contributor.author | Rufino, José | |
| dc.date.accessioned | 2026-03-16T09:49:15Z | |
| dc.date.available | 2026-03-16T09:49:15Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | With the current recession of the global COVID-19 pandemic, the corresponding epidemic models need to be adapted to reflect this new reality and continue assisting public health authorities in the definition of policies and decision making. With that aim, this paper presents a deterministic SEIR epidemic model for the representation of the COVID-19 post-pandemic scenario. The model considers the effect of countermeasures such as vaccination and quarantine, and the consequences of the progressive loss of immunity. The preliminary evaluation results, with fixed parameters, point to a cyclic evolution of the pandemic and a tendency for stabilization in the future. | por |
| dc.identifier.citation | Balsa, Carlos; Padua, Everaldo; Pinto, Luan; Rufino, José (2023). Modeling the COVID-19 post-pandemic spread. In 3rd Symposium of Applied Science for Young Researchers (SASYR 2023). ISBN 978-972-745-325-2 | |
| dc.identifier.isbn | 978-972-745-325-2 | |
| dc.identifier.uri | http://hdl.handle.net/10198/36076 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Instituto Politécnico de Bragança | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation.hasversion | https://hdl.handle.net/10198/28843 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | COVID-19 | |
| dc.subject | Post-pandemic scenario | |
| dc.subject | SEIR model | |
| dc.title | Modeling the COVID-19 post-pandemic spread | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDP/05757/2020 | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.conferenceDate | 2023 | |
| oaire.citation.endPage | 12 | |
| oaire.citation.startPage | 10 | |
| oaire.citation.title | 3rd Symposium of Applied Science for Young Researchers (SASYR 2023) | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Balsa | |
| person.familyName | Rufino | |
| person.givenName | Carlos | |
| person.givenName | José | |
| person.identifier | 1721518 | |
| person.identifier.ciencia-id | DE1E-2F7A-AAB1 | |
| person.identifier.ciencia-id | C414-F47F-6323 | |
| person.identifier.orcid | 0000-0003-2431-8665 | |
| person.identifier.orcid | 0000-0002-1344-8264 | |
| person.identifier.rid | M-8735-2013 | |
| person.identifier.scopus-author-id | 23391719100 | |
| person.identifier.scopus-author-id | 55947199100 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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