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Spatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugal

2024-02Artigo científico Acesso aberto
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dc.contributor.authorPinto de Carvalho, Constança
dc.contributor.authorRibeiro, Manuel
dc.contributor.authorGodinho Simões, Diogo
dc.contributor.authorPita Ferreira, Patrícia
dc.contributor.authorAzevedo, Leonardo
dc.contributor.authorGonçalves-Sá, Joana
dc.contributor.authorMesquita, Sara
dc.contributor.authorGonçalves, Licínio
dc.contributor.authorPinto Leite, Pedro
dc.contributor.authorPeralta-Santos, André
dc.contributor.institutionNOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM)
dc.contributor.institutionEscola Nacional de Saúde Pública (ENSP)
dc.contributor.institutionComprehensive Health Research Centre (CHRC) - Pólo ENSP
dc.contributor.institutionComprehensive Health Research Centre (CHRC) - pólo NMS
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2024-04-11T00:35:28Z
dc.date.available2024-04-11T00:35:28Z
dc.date.issued2024-02
dc.descriptionFunding 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.
dc.description.abstractVaccine 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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent2553617
dc.identifier.doi10.3390/vaccines12020119
dc.identifier.issn2076-393X
dc.identifier.otherPURE: 86576921
dc.identifier.otherPURE UUID: a883b06a-5b6b-4d0b-82cd-22b975bcd240
dc.identifier.otherScopus: 85185697484
dc.identifier.urihttp://hdl.handle.net/10362/166070
dc.identifier.urlhttps://www.scopus.com/pages/publications/85185697484
dc.language.isoeng
dc.peerreviewedyes
dc.subjectCOVID-19
dc.subjectmigrant health
dc.subjectSARS-CoV-2
dc.subjectsocial deprivation
dc.subjectvaccine hesitancy
dc.subjectImmunology
dc.subjectPharmacology
dc.subjectDrug Discovery
dc.subjectInfectious Diseases
dc.subjectPharmacology (medical)
dc.subjectSDG 3 - Good Health and Well-being
dc.titleSpatial Analysis of Determinants of COVID-19 Vaccine Hesitancy in Portugalen
dc.typejournal article
degois.publication.issue2
degois.publication.titleVaccines
degois.publication.volume12
dspace.entity.typePublication
rcaap.rightsopenAccess

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