Spatial analysis of determinants of COVID-19 vaccine hesitancy in Portugal

Detalhes bibliográficos
Autor(a) principal: Carvalho, Constança Pinto de
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/164714
Resumo: ABSTRACT - Background: Vaccine hesitancy tends to exhibit geographical patterns and is often associated with social deprivation and migrant status. Objectives: We aim to estimate the COVID-19 vaccination hesitancy in a high vaccination acceptance country, Portugal, and its association with sociodemographic risk factors. Methods: We used the Registry of National Health System Users to determine the eligible population for vaccination and the Vaccination Registry to determine the individuals without COVID-19 vaccine doses. Individuals older than five with no COVID 19 vaccine dose administered on March 31, 2022 were considered hesitant. We calculated hesitancy rates by the municipality, sex and age group for all municipalities in mainland Portugal. We modeled vaccine hesitancy rates with the spatial statistical scan method to identify the spatial clusters and the Besag, York, and Mollié (BYM) model to estimate the effect of age, sex, social deprivation, and migrant proportion across all the municipalities of mainland Portugal. Results: 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. Conclusion: We found clusters of COVID-19 vaccine hesitancy in Portugal and a strong association with the proportion of migrants per municipality.
id RCAP_d9b544d0679a7eff312ffb88fc3a0887
oai_identifier_str oai:run.unl.pt:10362/164714
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Spatial analysis of determinants of COVID-19 vaccine hesitancy in PortugalCOVID-19SARS-CoV-2Vaccine hesitancySocial DeprivationMigrant Healthhesitação vacinalprivação socialsaúde do migranteDomínio/Área Científica::Ciências Sociais::Outras Ciências SociaisABSTRACT - Background: Vaccine hesitancy tends to exhibit geographical patterns and is often associated with social deprivation and migrant status. Objectives: We aim to estimate the COVID-19 vaccination hesitancy in a high vaccination acceptance country, Portugal, and its association with sociodemographic risk factors. Methods: We used the Registry of National Health System Users to determine the eligible population for vaccination and the Vaccination Registry to determine the individuals without COVID-19 vaccine doses. Individuals older than five with no COVID 19 vaccine dose administered on March 31, 2022 were considered hesitant. We calculated hesitancy rates by the municipality, sex and age group for all municipalities in mainland Portugal. We modeled vaccine hesitancy rates with the spatial statistical scan method to identify the spatial clusters and the Besag, York, and Mollié (BYM) model to estimate the effect of age, sex, social deprivation, and migrant proportion across all the municipalities of mainland Portugal. Results: 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. Conclusion: We found clusters of COVID-19 vaccine hesitancy in Portugal and a strong association with the proportion of migrants per municipality.RESUMO - Contexto: A hesitação vacinal tem tendência a exibir padrões geográficos e está frequentemente associada a privação social e estatuto de migrante. Objetivos: Estimar a hesitação vacinal na COVID-19 num país com elevada cobertura vacinal, Portugal, e a sua associação com fatores de risco sociodemográficos. Métodos: Usou-se o Registo Nacional de Utentes (RNU) para determinar a população elegível e o VACINAS para determinar o número de indivíduos sem qualquer inoculação vacinal para a COVID-19. Consideram-se hesitantes os indivíduos com mais de 5 anos de idade sem doses de vacina COVID-19 à data de 31 de março de 2022. Calcularam se proporções por município, sexo e grupo etário para todos os municípios de Portugal Continental. Usou-se a metodologia SaTScan para identificar clusters espaciais e o modelo Besag, York, and Mollié (BYM) para estimar o efeito das variáveis explicativas. Resultados: A população elegível totalizou 9 852 283 indivíduos, dos quais 1 212 565 (12%) eram hesitantes para as vacinas da COVID-19. Foram encontrados clusters de hesitação vacinal na área da grande Lisboa e no sudoeste do país. O modelo ajustado sugere uma forte associação positiva entre hesitação vacinal e a proporção de migrantes (RR = 8; IC 95% 4,6; 14). A privação social e o género não evidenciaram associação com as proporções de hesitação vacinal. Conclusão: Foram encontrados clusters de hesitação vacinal para a COVID-19 em Portugal e uma forte associação com a proporção de migrantes por município.Peralta-Santos, AndréRUNCarvalho, Constança Pinto de2024-03-11T11:49:26Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/164714TID:203533607enginfo: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:RCAAP2024-03-18T01:44:30Zoai:run.unl.pt:10362/164714Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T04:01:57.695980Repositório 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 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
Carvalho, Constança Pinto de
COVID-19
SARS-CoV-2
Vaccine hesitancy
Social Deprivation
Migrant Health
hesitação vacinal
privação social
saúde do migrante
Domínio/Área Científica::Ciências Sociais::Outras Ciências Sociais
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 Carvalho, Constança Pinto de
author_facet Carvalho, Constança Pinto de
author_role author
dc.contributor.none.fl_str_mv Peralta-Santos, André
RUN
dc.contributor.author.fl_str_mv Carvalho, Constança Pinto de
dc.subject.por.fl_str_mv COVID-19
SARS-CoV-2
Vaccine hesitancy
Social Deprivation
Migrant Health
hesitação vacinal
privação social
saúde do migrante
Domínio/Área Científica::Ciências Sociais::Outras Ciências Sociais
topic COVID-19
SARS-CoV-2
Vaccine hesitancy
Social Deprivation
Migrant Health
hesitação vacinal
privação social
saúde do migrante
Domínio/Área Científica::Ciências Sociais::Outras Ciências Sociais
description ABSTRACT - Background: Vaccine hesitancy tends to exhibit geographical patterns and is often associated with social deprivation and migrant status. Objectives: We aim to estimate the COVID-19 vaccination hesitancy in a high vaccination acceptance country, Portugal, and its association with sociodemographic risk factors. Methods: We used the Registry of National Health System Users to determine the eligible population for vaccination and the Vaccination Registry to determine the individuals without COVID-19 vaccine doses. Individuals older than five with no COVID 19 vaccine dose administered on March 31, 2022 were considered hesitant. We calculated hesitancy rates by the municipality, sex and age group for all municipalities in mainland Portugal. We modeled vaccine hesitancy rates with the spatial statistical scan method to identify the spatial clusters and the Besag, York, and Mollié (BYM) model to estimate the effect of age, sex, social deprivation, and migrant proportion across all the municipalities of mainland Portugal. Results: 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. Conclusion: We found clusters of COVID-19 vaccine hesitancy in Portugal and a strong association with the proportion of migrants per municipality.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
2024-03-11T11:49:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/164714
TID:203533607
url http://hdl.handle.net/10362/164714
identifier_str_mv TID:203533607
dc.language.iso.fl_str_mv eng
language eng
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.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
_version_ 1799138192528506880