SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic
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: | https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676 |
Resumo: | Introduction: Assessment of SARS-CoV-2 seroprevalence may detect the real spread of the virus because antibody data can provide a long-lasting measure of infection. Existing serological studies in Portugal have tested new serology methods, albeit with small sample sizes and a lack the focus on geographical regions with a high rate of infection cases. The aim of this study was to estimate the serological prevalence of SARS-CoV-2 in Vila Nova de Gaia, the most populous municipality in the north of Portugal and one of those most affected during the first pandemic wave.Material and Methods: A cross-sectional observational study was conducted between June 23rd and July 17th, 2020. Included in the cohort were 18- to 74-year-old men and women living in the municipality of Vila Nova de Gaia, who were sampled through a nonprobabilistic quota-based approach. Cases with a previous RT-PCR diagnosis of COVID-19 were excluded. Sociodemographic and clinical information was collected using a self-administered, written questionnaire. Blood samples were collected for serological laboratory analysis to detect and quantify SARS-CoV-2 anti-IgG antibodies.Results: We tested 2754 participants. Our results show a SARS-CoV-2 seroprevalence of 3.03% (95% confidence interval: 2.37% – 3.87%). Being a smoker (odds ratio: 0.382, 95% confidence interval: 0.147 – 0.99) and having symptoms of COVID-19 (odds ratio: 2.480, 95% confidence interval: 1.360 – 4.522) were consistently associated with lower and higher odds of SARS-CoV-2 antibody presence, respectively, regardless of the analytic design. Moreover, without adjusting for any variables, having had contact with an infected person within the household was associated with increased odds of a positive test (odds ratio: 9.684, 95% confidence interval: 4.06 – 23.101); after adjusting, having self-reported chronic diseases (odds ratio: 0.448, 95% confidence interval: 0.213 – 0.941) was associated with decreased odds.Conclusion: This was the first study to estimate the serological prevalence of SARS-CoV-2 in one of the most populous municipalities in Portugal, representing the first step in the development of an epidemiological surveillance system in Portugal, which can help to improve the diagnosis of COVID-19. |
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SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the PandemicPrevalência de Anticorpos Contra SARS-CoV-2 na População Residente no Município Português de Vila Nova de Gaia após a Primeira Onda da PandemiaAntibodiesViralCOVID-19Epidemiological MonitoringPortugalSARS-CoV-2Seroepidemiologic StudiesAnticorpos AntiviraisCOVID-19Estudos SeroepidemiológicosPortugalSARS-CoV-2Vigilância EpidemiológicaIntroduction: Assessment of SARS-CoV-2 seroprevalence may detect the real spread of the virus because antibody data can provide a long-lasting measure of infection. Existing serological studies in Portugal have tested new serology methods, albeit with small sample sizes and a lack the focus on geographical regions with a high rate of infection cases. The aim of this study was to estimate the serological prevalence of SARS-CoV-2 in Vila Nova de Gaia, the most populous municipality in the north of Portugal and one of those most affected during the first pandemic wave.Material and Methods: A cross-sectional observational study was conducted between June 23rd and July 17th, 2020. Included in the cohort were 18- to 74-year-old men and women living in the municipality of Vila Nova de Gaia, who were sampled through a nonprobabilistic quota-based approach. Cases with a previous RT-PCR diagnosis of COVID-19 were excluded. Sociodemographic and clinical information was collected using a self-administered, written questionnaire. Blood samples were collected for serological laboratory analysis to detect and quantify SARS-CoV-2 anti-IgG antibodies.Results: We tested 2754 participants. Our results show a SARS-CoV-2 seroprevalence of 3.03% (95% confidence interval: 2.37% – 3.87%). Being a smoker (odds ratio: 0.382, 95% confidence interval: 0.147 – 0.99) and having symptoms of COVID-19 (odds ratio: 2.480, 95% confidence interval: 1.360 – 4.522) were consistently associated with lower and higher odds of SARS-CoV-2 antibody presence, respectively, regardless of the analytic design. Moreover, without adjusting for any variables, having had contact with an infected person within the household was associated with increased odds of a positive test (odds ratio: 9.684, 95% confidence interval: 4.06 – 23.101); after adjusting, having self-reported chronic diseases (odds ratio: 0.448, 95% confidence interval: 0.213 – 0.941) was associated with decreased odds.Conclusion: This was the first study to estimate the serological prevalence of SARS-CoV-2 in one of the most populous municipalities in Portugal, representing the first step in the development of an epidemiological surveillance system in Portugal, which can help to improve the diagnosis of COVID-19.Introdução: A estimativa da seroprevalência de SARS-CoV-2 pode detetar a real disseminação do vírus uma vez que os dados sobre anticorpos podem permitir determinar a evolução da infeção ao longo do tempo. Em Portugal, os estudos serológicos existentes têm sido utilizados sobretudo para testar novos métodos, sendo, no entanto, realizados com amostras de pequena dimensão. Além disso, estes estudos não se têm focado nas regiões geográficas com o maior número de casos de infeção. Este estudo teve como principal objetivo estimar a prevalência serológica de SARS-CoV-2 em Vila Nova de Gaia, Portugal, o município mais populoso do norte do país e um dos mais afetados pela primeira onda da pandemia.Material e Métodos: Estudo observacional transversal conduzido entre 23 de junho e 17 de julho de 2020. Foram incluídos adultos, com idades compreendidas entre os 18 e os 74 anos, de ambos os sexos, residentes numa das 15 freguesias do município de Vila Nova de Gaia. Foi seguida uma amostragem com recurso a uma abordagem não probabilística por quotas. Casos de indivíduos com um diagnóstico prévio de COVID-19 com teste RT-PCR foram excluídos. Os dados sociodemográficos e clínicos foram recolhidos através de questionário autopreenchido, em papel. Foram ainda recolhidas amostras de sangue para análise laboratorial serológica para deteção e quantificação de anticorpos anti-IgG contra SARS-CoV-2.Resultados: Foram testados 2754 participantes. Os nossos resultados mostram uma seroprevalência de SARS-CoV-2 de 3,03% (intervalo de confiança 95%: 2,37 – 3,87%). Ser fumador (OR: 0,382, intervalo de confiança 95%: 0,147 – 0,99) e apresentar sintomas de COVID-19 (OR: 2,480, intervalo de confiança 95%: 1,36 – 4,522) foram observados como estando associados a menor e maior probabilidade de presença de anticorpos SARS-CoV-2, independentemente do desenho analítico. Sem ajustamento para qualquer variável, o contacto com uma pessoa infetada dentro do domicílio (OR: 9,684, intervalo de confiança 95%: 4,06 - 23,101) esteve associado com aumento da chance de ter um teste positivo. Após ajustamento, ter doenças crónicas autorreportadas (OR: 0,448, intervalo de confiança 95%: 0,213 - 0,941) esteve associada à diminuição da chance de ter um teste COVID-19 positivo. Conclusão: Este foi o primeiro estudo a estimar a prevalência serológica do SARS-CoV-2 num dos municípios mais populosos de Portugal, constituindo o primeiro passo para o desenvolvimento de um sistema de vigilância epidemiológica em Portugal, que pode ajudar a melhorar o diagnóstico da COVID-19.Ordem dos Médicos2022-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676oai:ojs.www.actamedicaportuguesa.com:article/17676Acta Médica Portuguesa; Vol. 35 No. 6 (2022): June; 468-475Acta Médica Portuguesa; Vol. 35 N.º 6 (2022): Junho; 468-4751646-07580870-399Xreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676/6645https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676/6657Direitos de Autor (c) 2022 Acta Médica Portuguesainfo:eu-repo/semantics/openAccessde Carvalho, ÁlvaroVirgolino, AnaQueirós, PaulaHenriques, Ana RitaCanhão, HelenaRodrigues, Ana MariaBarbosa, VenerandaRodrigues, JoanaGermano de Sousa, JoséGuimarães, Miguel2022-12-20T11:08:05Zoai:ojs.www.actamedicaportuguesa.com:article/17676Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:20:59.498149Repositório 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 |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic Prevalência de Anticorpos Contra SARS-CoV-2 na População Residente no Município Português de Vila Nova de Gaia após a Primeira Onda da Pandemia |
title |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic |
spellingShingle |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic de Carvalho, Álvaro Antibodies Viral COVID-19 Epidemiological Monitoring Portugal SARS-CoV-2 Seroepidemiologic Studies Anticorpos Antivirais COVID-19 Estudos Seroepidemiológicos Portugal SARS-CoV-2 Vigilância Epidemiológica |
title_short |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic |
title_full |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic |
title_fullStr |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic |
title_full_unstemmed |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic |
title_sort |
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic |
author |
de Carvalho, Álvaro |
author_facet |
de Carvalho, Álvaro Virgolino, Ana Queirós, Paula Henriques, Ana Rita Canhão, Helena Rodrigues, Ana Maria Barbosa, Veneranda Rodrigues, Joana Germano de Sousa, José Guimarães, Miguel |
author_role |
author |
author2 |
Virgolino, Ana Queirós, Paula Henriques, Ana Rita Canhão, Helena Rodrigues, Ana Maria Barbosa, Veneranda Rodrigues, Joana Germano de Sousa, José Guimarães, Miguel |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
de Carvalho, Álvaro Virgolino, Ana Queirós, Paula Henriques, Ana Rita Canhão, Helena Rodrigues, Ana Maria Barbosa, Veneranda Rodrigues, Joana Germano de Sousa, José Guimarães, Miguel |
dc.subject.por.fl_str_mv |
Antibodies Viral COVID-19 Epidemiological Monitoring Portugal SARS-CoV-2 Seroepidemiologic Studies Anticorpos Antivirais COVID-19 Estudos Seroepidemiológicos Portugal SARS-CoV-2 Vigilância Epidemiológica |
topic |
Antibodies Viral COVID-19 Epidemiological Monitoring Portugal SARS-CoV-2 Seroepidemiologic Studies Anticorpos Antivirais COVID-19 Estudos Seroepidemiológicos Portugal SARS-CoV-2 Vigilância Epidemiológica |
description |
Introduction: Assessment of SARS-CoV-2 seroprevalence may detect the real spread of the virus because antibody data can provide a long-lasting measure of infection. Existing serological studies in Portugal have tested new serology methods, albeit with small sample sizes and a lack the focus on geographical regions with a high rate of infection cases. The aim of this study was to estimate the serological prevalence of SARS-CoV-2 in Vila Nova de Gaia, the most populous municipality in the north of Portugal and one of those most affected during the first pandemic wave.Material and Methods: A cross-sectional observational study was conducted between June 23rd and July 17th, 2020. Included in the cohort were 18- to 74-year-old men and women living in the municipality of Vila Nova de Gaia, who were sampled through a nonprobabilistic quota-based approach. Cases with a previous RT-PCR diagnosis of COVID-19 were excluded. Sociodemographic and clinical information was collected using a self-administered, written questionnaire. Blood samples were collected for serological laboratory analysis to detect and quantify SARS-CoV-2 anti-IgG antibodies.Results: We tested 2754 participants. Our results show a SARS-CoV-2 seroprevalence of 3.03% (95% confidence interval: 2.37% – 3.87%). Being a smoker (odds ratio: 0.382, 95% confidence interval: 0.147 – 0.99) and having symptoms of COVID-19 (odds ratio: 2.480, 95% confidence interval: 1.360 – 4.522) were consistently associated with lower and higher odds of SARS-CoV-2 antibody presence, respectively, regardless of the analytic design. Moreover, without adjusting for any variables, having had contact with an infected person within the household was associated with increased odds of a positive test (odds ratio: 9.684, 95% confidence interval: 4.06 – 23.101); after adjusting, having self-reported chronic diseases (odds ratio: 0.448, 95% confidence interval: 0.213 – 0.941) was associated with decreased odds.Conclusion: This was the first study to estimate the serological prevalence of SARS-CoV-2 in one of the most populous municipalities in Portugal, representing the first step in the development of an epidemiological surveillance system in Portugal, which can help to improve the diagnosis of COVID-19. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676 oai:ojs.www.actamedicaportuguesa.com:article/17676 |
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https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676 |
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oai:ojs.www.actamedicaportuguesa.com:article/17676 |
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eng |
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eng |
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https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676 https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676/6645 https://www.actamedicaportuguesa.com/revista/index.php/amp/article/view/17676/6657 |
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Direitos de Autor (c) 2022 Acta Médica Portuguesa info:eu-repo/semantics/openAccess |
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Direitos de Autor (c) 2022 Acta Médica Portuguesa |
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application/pdf application/pdf |
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Ordem dos Médicos |
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Ordem dos Médicos |
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Acta Médica Portuguesa; Vol. 35 No. 6 (2022): June; 468-475 Acta Médica Portuguesa; Vol. 35 N.º 6 (2022): Junho; 468-475 1646-0758 0870-399X reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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