The impact of vaccination on the evolution of COVID-19 in Portugal
Autor(a) principal: | |
---|---|
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/10362/134348 |
Resumo: | DOCTORATES 4 COVID-19", number 2020.10172.BD. PP UIDB/00297/2020 UIDB/04621/2020 UIDP/04621/2020 |
id |
RCAP_b92d98d4aa48e95c370d2a0be4318ce0 |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/134348 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
The impact of vaccination on the evolution of COVID-19 in PortugalCOVID-19EpidemiologySEIR modelVaccinationModelling and SimulationAgricultural and Biological Sciences(all)Computational MathematicsApplied MathematicsSDG 3 - Good Health and Well-beingDOCTORATES 4 COVID-19", number 2020.10172.BD. PP UIDB/00297/2020 UIDB/04621/2020 UIDP/04621/2020In this work we use simple mathematical models to study the impact of vaccination against COVID-19 in Portugal. First, we fit a SEIR type model without vaccination to the Portuguese data on confirmed cases of COVID-19 by the date of symptom onset, from the beginning of the epidemic until the 23rd January of 2021, to estimate changes in the transmission intensity. Then, by including vaccination in the model we develop different scenarios for the fade-out of the non pharmacological intervention (NPIs) as vaccine coverage increases in the population according to Portuguese vaccination goals. We include a feedback function to mimic the implementation and relaxation of NPIs, according to some disease incidence thresholds defined by the Portuguese health authorities.Comprehensive Health Research Centre (CHRC) - Pólo ENSPCentro de Investigação em Saúde Pública (CISP/PHRC)Escola Nacional de Saúde Pública (ENSP)CMA - Centro de Matemática e AplicaçõesDM - Departamento de MatemáticaRUNMachado, BeatrizAntunes, LilianaCaetano, ConstantinoPereira, João F.Nunes, BaltazarPatrício, PaulaMorgado, M. Luísa2022-03-11T23:22:43Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article17application/pdfhttp://hdl.handle.net/10362/134348eng1547-1063PURE: 36735584https://doi.org/10.3934/mbe.2022043info: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:RCAAP2024-05-22T18:00:07Zoai:run.unl.pt:10362/134348Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:00:07Repositório 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 |
The impact of vaccination on the evolution of COVID-19 in Portugal |
title |
The impact of vaccination on the evolution of COVID-19 in Portugal |
spellingShingle |
The impact of vaccination on the evolution of COVID-19 in Portugal Machado, Beatriz COVID-19 Epidemiology SEIR model Vaccination Modelling and Simulation Agricultural and Biological Sciences(all) Computational Mathematics Applied Mathematics SDG 3 - Good Health and Well-being |
title_short |
The impact of vaccination on the evolution of COVID-19 in Portugal |
title_full |
The impact of vaccination on the evolution of COVID-19 in Portugal |
title_fullStr |
The impact of vaccination on the evolution of COVID-19 in Portugal |
title_full_unstemmed |
The impact of vaccination on the evolution of COVID-19 in Portugal |
title_sort |
The impact of vaccination on the evolution of COVID-19 in Portugal |
author |
Machado, Beatriz |
author_facet |
Machado, Beatriz Antunes, Liliana Caetano, Constantino Pereira, João F. Nunes, Baltazar Patrício, Paula Morgado, M. Luísa |
author_role |
author |
author2 |
Antunes, Liliana Caetano, Constantino Pereira, João F. Nunes, Baltazar Patrício, Paula Morgado, M. Luísa |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Comprehensive Health Research Centre (CHRC) - Pólo ENSP Centro de Investigação em Saúde Pública (CISP/PHRC) Escola Nacional de Saúde Pública (ENSP) CMA - Centro de Matemática e Aplicações DM - Departamento de Matemática RUN |
dc.contributor.author.fl_str_mv |
Machado, Beatriz Antunes, Liliana Caetano, Constantino Pereira, João F. Nunes, Baltazar Patrício, Paula Morgado, M. Luísa |
dc.subject.por.fl_str_mv |
COVID-19 Epidemiology SEIR model Vaccination Modelling and Simulation Agricultural and Biological Sciences(all) Computational Mathematics Applied Mathematics SDG 3 - Good Health and Well-being |
topic |
COVID-19 Epidemiology SEIR model Vaccination Modelling and Simulation Agricultural and Biological Sciences(all) Computational Mathematics Applied Mathematics SDG 3 - Good Health and Well-being |
description |
DOCTORATES 4 COVID-19", number 2020.10172.BD. PP UIDB/00297/2020 UIDB/04621/2020 UIDP/04621/2020 |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-11T23:22:43Z 2022 2022-01-01T00:00:00Z |
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/10362/134348 |
url |
http://hdl.handle.net/10362/134348 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1547-1063 PURE: 36735584 https://doi.org/10.3934/mbe.2022043 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
17 application/pdf |
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 |
mluisa.alvim@gmail.com |
_version_ |
1817545850618904576 |