Fractional modelling and optimal control of COVID-19 transmission in Portugal
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/34104 |
Resumo: | A fractional-order compartmental model was recently used to describe real data of the first wave of the COVID-19 pandemic in Portugal [Chaos Solitons Fractals 144 (2021), Art. 110652]. Here, we modify that model in order to correct time dimensions and use it to investigate the third wave of COVID-19 that occurred in Portugal from December 2020 to February 2021, and that has surpassed all previous waves, both in number and consequences. A new fractional optimal control problem is then formulated and solved, with vaccination and preventive measures as controls. A cost-effectiveness analysis is carried out, and the obtained results are discussed. |
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Fractional modelling and optimal control of COVID-19 transmission in PortugalCompartmental modelsCOVID-19 pandemicThird wave of COVID-19 in PortugalFractional-order calculusOptimal controlA fractional-order compartmental model was recently used to describe real data of the first wave of the COVID-19 pandemic in Portugal [Chaos Solitons Fractals 144 (2021), Art. 110652]. Here, we modify that model in order to correct time dimensions and use it to investigate the third wave of COVID-19 that occurred in Portugal from December 2020 to February 2021, and that has surpassed all previous waves, both in number and consequences. A new fractional optimal control problem is then formulated and solved, with vaccination and preventive measures as controls. A cost-effectiveness analysis is carried out, and the obtained results are discussed.MDPI2022-07-04T13:19:57Z2022-04-11T00:00:00Z2022-04-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10773/34104eng10.3390/axioms11040170Rosa, SilvérioTorres, Delfim F. M.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:04:46Zoai:ria.ua.pt:10773/34104Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:05:02.400906Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
title |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
spellingShingle |
Fractional modelling and optimal control of COVID-19 transmission in Portugal Rosa, Silvério Compartmental models COVID-19 pandemic Third wave of COVID-19 in Portugal Fractional-order calculus Optimal control |
title_short |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
title_full |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
title_fullStr |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
title_full_unstemmed |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
title_sort |
Fractional modelling and optimal control of COVID-19 transmission in Portugal |
author |
Rosa, Silvério |
author_facet |
Rosa, Silvério Torres, Delfim F. M. |
author_role |
author |
author2 |
Torres, Delfim F. M. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Rosa, Silvério Torres, Delfim F. M. |
dc.subject.por.fl_str_mv |
Compartmental models COVID-19 pandemic Third wave of COVID-19 in Portugal Fractional-order calculus Optimal control |
topic |
Compartmental models COVID-19 pandemic Third wave of COVID-19 in Portugal Fractional-order calculus Optimal control |
description |
A fractional-order compartmental model was recently used to describe real data of the first wave of the COVID-19 pandemic in Portugal [Chaos Solitons Fractals 144 (2021), Art. 110652]. Here, we modify that model in order to correct time dimensions and use it to investigate the third wave of COVID-19 that occurred in Portugal from December 2020 to February 2021, and that has surpassed all previous waves, both in number and consequences. A new fractional optimal control problem is then formulated and solved, with vaccination and preventive measures as controls. A cost-effectiveness analysis is carried out, and the obtained results are discussed. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-04T13:19:57Z 2022-04-11T00:00:00Z 2022-04-11 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/34104 |
url |
http://hdl.handle.net/10773/34104 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.3390/axioms11040170 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137705651601408 |