Publication
Modified SIQR model for the COVID‐19 outbreak in several countries
dc.contributor.author | Pinto, Carla M. A. | |
dc.contributor.author | Tenreiro Machado, J. A. | |
dc.contributor.author | Burgos‐Simón, Clara | |
dc.date.accessioned | 2023-01-16T10:52:18Z | |
dc.date.embargo | 2035 | |
dc.date.issued | 2022 | |
dc.description.abstract | In this paper, we propose a modified Susceptible-Infected-Quarantine-Recovered (mSIQR) model, for the COVID-19 pandemic. We start by proving the well-posedness of the model and then compute its reproduction number and the corresponding sensitivity indices. We discuss the values of these indices for epidemiological relevant parameters, namely, the contact rate, the proportion of unknown infectious, and the recovering rate. The mSIQR model is simulated, and the outputs are fit to COVID-19 pandemic data from several countries, including France, US, UK, and Portugal. We discuss the epidemiological relevance of the results and provide insights on future patterns, subjected to health policies. | pt_PT |
dc.description.sponsorship | The author CP was partially supported by CMUP (UID/-MAT/00144/2013), which is funded by Fundação para a Ciência e Tecnologia (FCT) (Portugal) with national (MEC) and European structural funds European Regional Development Fund (FEDER), under the partnership agreement PT2020. The revision of this paper has been overshadowed by Prof Tenreiro Machado's departure on October 2021. In sorrow, we dedicate this work to his memory | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1002/mma.8082 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.22/21527 | |
dc.language.iso | eng | pt_PT |
dc.publisher | Wiley | pt_PT |
dc.relation | UID/-MAT/00144/2013 | pt_PT |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/10.1002/mma.8082 | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
dc.subject | Epidemiology | pt_PT |
dc.subject | mSIQR model | pt_PT |
dc.subject | Real data fitting | pt_PT |
dc.subject | SARS-CoV-2 | pt_PT |
dc.title | Modified SIQR model for the COVID‐19 outbreak in several countries | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | Mathematical Methods in the Applied Sciences | pt_PT |
person.familyName | Pinto | |
person.familyName | Tenreiro Machado | |
person.givenName | Carla | |
person.givenName | J. A. | |
person.identifier.ciencia-id | 7A18-4935-5B29 | |
person.identifier.orcid | 0000-0002-0729-1133 | |
person.identifier.orcid | 0000-0003-4274-4879 | |
person.identifier.rid | J-5221-2013 | |
person.identifier.rid | M-2173-2013 | |
person.identifier.scopus-author-id | 14326048800 | |
person.identifier.scopus-author-id | 55989030100 | |
rcaap.rights | closedAccess | pt_PT |
rcaap.type | article | pt_PT |
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relation.isAuthorOfPublication | 82cd5c17-07b6-492b-b3e3-ecebdad1254f | |
relation.isAuthorOfPublication.latestForDiscovery | edfd0bf4-9f73-47ee-817a-860e3d088994 |