Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Outros Autores: | , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10362/166070 |
Resumo: | Funding Information: This work was supported by the Portuguese Science Foundation (FCT) through the project SCOPE—Spatial Data Sciences for COVID-19 Pandemic (Grant DSAIPA/DS/0115/2020). M.R. and L.A. gratefully acknowledge the support of the CERENA (strategic project FCT-UIDB/04028/2020). M.R acknowledges FCT support for the research contract IST-ID/175/2018. This research was also partially supported by FCT grant DSAIPA/AI/0087/2018 to J.G.-S. and by PhD fellowship 2020.10157.BD to S.M. Publisher Copyright: © 2024 by the authors. |
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Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in PortugalCOVID-19migrant healthSARS-CoV-2social deprivationvaccine hesitancyImmunologyPharmacologyDrug DiscoveryInfectious DiseasesPharmacology (medical)SDG 3 - Good Health and Well-beingFunding Information: This work was supported by the Portuguese Science Foundation (FCT) through the project SCOPE—Spatial Data Sciences for COVID-19 Pandemic (Grant DSAIPA/DS/0115/2020). M.R. and L.A. gratefully acknowledge the support of the CERENA (strategic project FCT-UIDB/04028/2020). M.R acknowledges FCT support for the research contract IST-ID/175/2018. This research was also partially supported by FCT grant DSAIPA/AI/0087/2018 to J.G.-S. and by PhD fellowship 2020.10157.BD to S.M. Publisher Copyright: © 2024 by the authors.Vaccine hesitancy tends to exhibit geographical patterns and is often associated with social deprivation and migrant status. We aimed to estimate COVID-19 vaccination hesitancy in a high-vaccination-acceptance country, Portugal, and determine its association with sociodemographic risk factors. We used the Registry of National Health System Users to determine the eligible population and the Vaccination Registry to determine individuals without COVID-19 vaccine doses. Individuals older than five with no COVID-19 vaccine dose administered by 31 March 2022 were considered hesitant. We calculated hesitancy rates by municipality, gender, and age group for all municipalities in mainland Portugal. We used the spatial statistical scan method to identify spatial clusters and the Besag, Yorke, and Mollié (BYM) model to estimate the effect of age, gender, social deprivation, and migrant proportion across all mainland municipalities. The eligible population was 9,852,283, with 1,212,565 (12%) COVID-19 vaccine-hesitant individuals. We found high-hesitancy spatial clusters in the Lisbon metropolitan area and the country’s southwest. Our model showed that municipalities with higher proportions of migrants are associated with an increased relative risk (RR) of vaccine hesitancy (RR = 8.0; CI 95% 4.6; 14.0). Social deprivation and gender were not associated with vaccine hesitancy rates. We found COVID-19 vaccine hesitancy has a heterogeneous distribution across Portugal and has a strong association with the proportion of migrants per municipality.NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)Escola Nacional de Saúde Pública (ENSP)Comprehensive Health Research Centre (CHRC) - Pólo ENSPComprehensive Health Research Centre (CHRC) - pólo NMSRUNPinto de Carvalho, ConstançaRibeiro, ManuelGodinho Simões, DiogoPita Ferreira, PatríciaAzevedo, LeonardoGonçalves-Sá, JoanaMesquita, SaraGonçalves, LicínioPinto Leite, PedroPeralta-Santos, André2024-04-11T00:35:28Z2024-022024-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/166070eng2076-393XPURE: 86576921https://doi.org/10.3390/vaccines12020119info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:20:22Zoai:run.unl.pt:10362/166070Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:51:04.111627Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| title |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| spellingShingle |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal Pinto de Carvalho, Constança COVID-19 migrant health SARS-CoV-2 social deprivation vaccine hesitancy Immunology Pharmacology Drug Discovery Infectious Diseases Pharmacology (medical) SDG 3 - Good Health and Well-being |
| title_short |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| title_full |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| title_fullStr |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| title_full_unstemmed |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| title_sort |
Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal |
| author |
Pinto de Carvalho, Constança |
| author_facet |
Pinto de Carvalho, Constança Ribeiro, Manuel Godinho Simões, Diogo Pita Ferreira, Patrícia Azevedo, Leonardo Gonçalves-Sá, Joana Mesquita, Sara Gonçalves, Licínio Pinto Leite, Pedro Peralta-Santos, André |
| author_role |
author |
| author2 |
Ribeiro, Manuel Godinho Simões, Diogo Pita Ferreira, Patrícia Azevedo, Leonardo Gonçalves-Sá, Joana Mesquita, Sara Gonçalves, Licínio Pinto Leite, Pedro Peralta-Santos, André |
| author2_role |
author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) Escola Nacional de Saúde Pública (ENSP) Comprehensive Health Research Centre (CHRC) - Pólo ENSP Comprehensive Health Research Centre (CHRC) - pólo NMS RUN |
| dc.contributor.author.fl_str_mv |
Pinto de Carvalho, Constança Ribeiro, Manuel Godinho Simões, Diogo Pita Ferreira, Patrícia Azevedo, Leonardo Gonçalves-Sá, Joana Mesquita, Sara Gonçalves, Licínio Pinto Leite, Pedro Peralta-Santos, André |
| dc.subject.por.fl_str_mv |
COVID-19 migrant health SARS-CoV-2 social deprivation vaccine hesitancy Immunology Pharmacology Drug Discovery Infectious Diseases Pharmacology (medical) SDG 3 - Good Health and Well-being |
| topic |
COVID-19 migrant health SARS-CoV-2 social deprivation vaccine hesitancy Immunology Pharmacology Drug Discovery Infectious Diseases Pharmacology (medical) SDG 3 - Good Health and Well-being |
| description |
Funding Information: This work was supported by the Portuguese Science Foundation (FCT) through the project SCOPE—Spatial Data Sciences for COVID-19 Pandemic (Grant DSAIPA/DS/0115/2020). M.R. and L.A. gratefully acknowledge the support of the CERENA (strategic project FCT-UIDB/04028/2020). M.R acknowledges FCT support for the research contract IST-ID/175/2018. This research was also partially supported by FCT grant DSAIPA/AI/0087/2018 to J.G.-S. and by PhD fellowship 2020.10157.BD to S.M. Publisher Copyright: © 2024 by the authors. |
| publishDate |
2024 |
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2024-04-11T00:35:28Z 2024-02 2024-02-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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http://hdl.handle.net/10362/166070 |
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eng |
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eng |
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2076-393X PURE: 86576921 https://doi.org/10.3390/vaccines12020119 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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