SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic

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 geog...

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Main Authors: Álvaro de Carvalho, Ana Virgolino, Paula Queirós, Ana Rita Henriques, Helena Canhão, Ana Maria Rodrigues, Veneranda Barbosa, Joana Rodrigues, José Germano de Sousa, Miguel Guimarães
Format: Article
Language:English
Published: Ordem dos Médicos 2022-06-01
Series:Acta Médica Portuguesa
Subjects:
Online Access:https://actamedicaportuguesa.com/revista/index.php/amp/article/view/17676
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author Álvaro de Carvalho
Ana Virgolino
Paula Queirós
Ana Rita Henriques
Helena Canhão
Ana Maria Rodrigues
Veneranda Barbosa
Joana Rodrigues
José Germano de Sousa
Miguel Guimarães
author_facet Álvaro de Carvalho
Ana Virgolino
Paula Queirós
Ana Rita Henriques
Helena Canhão
Ana Maria Rodrigues
Veneranda Barbosa
Joana Rodrigues
José Germano de Sousa
Miguel Guimarães
author_sort Álvaro de Carvalho
collection DOAJ
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.
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spelling doaj.art-2d57803441054fcabfa291191ac6ebf82022-12-22T02:32:10ZengOrdem dos MédicosActa Médica Portuguesa0870-399X1646-07582022-06-0135610.20344/amp.176765634SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the PandemicÁlvaro de Carvalho0Ana Virgolino1Paula Queirós2Ana Rita Henriques3Helena Canhão4Ana Maria Rodrigues5Veneranda Barbosa6Joana Rodrigues7José Germano de Sousa8Miguel Guimarães9Fundação Álvaro Carvalho. Lisboa.Instituto de Saúde Ambiental. Faculdade de Medicina. Universidade de Lisboa. Lisboa. Laboratório Associado TERRA. Faculdade de Medicina. Universidade de Lisboa. Lisboa.Fundação Vox Populi. Lisboa.EpiDoC Unit. Chronic Diseases Research Center (CEDOC). NOVA Medical School. Universidade NOVA de Lisboa. Lisboa. Comprehensive Health Research Center (CHRC). NOVA Medical School. Universidade NOVA de Lisboa. Lisboa.EpiDoC Unit. Chronic Diseases Research Center (CEDOC). NOVA Medical School. Universidade NOVA de Lisboa. Lisboa. Comprehensive Health Research Center (CHRC). NOVA Medical School. Universidade NOVA de Lisboa. Lisboa.EpiDoC Unit. Chronic Diseases Research Center (CEDOC). NOVA Medical School. Universidade NOVA de Lisboa. Lisboa. Comprehensive Health Research Center (CHRC). NOVA Medical School. Universidade NOVA de Lisboa. Lisboa.Fundação Álvaro Carvalho. Lisboa.Fundação Vox Populi. Lisboa.Germano de Sousa Group. Centro de Medicina Laboratorial. Pólo Tecnológico de Lisboa. Lisboa.Ordem dos Médicos Portugueses. Lisboa. 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. https://actamedicaportuguesa.com/revista/index.php/amp/article/view/17676AntibodiesViralCOVID-19Epidemiological MonitoringPortugalSARS-CoV-2
spellingShingle Álvaro de Carvalho
Ana Virgolino
Paula Queirós
Ana Rita Henriques
Helena Canhão
Ana Maria Rodrigues
Veneranda Barbosa
Joana Rodrigues
José Germano de Sousa
Miguel Guimarães
SARS-CoV-2 Antibody Prevalence in the Portuguese Municipality of Vila Nova de Gaia after the First Wave of the Pandemic
Acta Médica Portuguesa
Antibodies
Viral
COVID-19
Epidemiological Monitoring
Portugal
SARS-CoV-2
title 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_short 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
topic Antibodies
Viral
COVID-19
Epidemiological Monitoring
Portugal
SARS-CoV-2
url https://actamedicaportuguesa.com/revista/index.php/amp/article/view/17676
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