Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil
ABSTRACT OBJECTIVE To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted p...
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creator | Luiz Amorim Filho Szwarcwald, Célia Landmann Mateos, Sheila De Oliveira Garcia Leon, Antonio Carlos Monteiro Ponce De Medronho, Roberto De Andrade Valdiléa Gonçalves Veloso Lopes, Josiane Iole França Porto, Luis Cristovão De Moraes Sobrino Chieppe, Alexandre Werneck, Guilherme Loureiro |
description | ABSTRACT OBJECTIVE To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2. |
doi_str_mv | 10.6084/m9.figshare.14303165 |
format | Dataset |
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METHODS Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2.</description><identifier>DOI: 10.6084/m9.figshare.14303165</identifier><language>eng</language><publisher>SciELO journals</publisher><subject>Environmental and Occupational Health and Safety ; FOS: Health sciences ; FOS: Sociology ; Sociology</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.14303165$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Luiz Amorim Filho</creatorcontrib><creatorcontrib>Szwarcwald, Célia Landmann</creatorcontrib><creatorcontrib>Mateos, Sheila De Oliveira Garcia</creatorcontrib><creatorcontrib>Leon, Antonio Carlos Monteiro Ponce De</creatorcontrib><creatorcontrib>Medronho, Roberto De Andrade</creatorcontrib><creatorcontrib>Valdiléa Gonçalves Veloso</creatorcontrib><creatorcontrib>Lopes, Josiane Iole França</creatorcontrib><creatorcontrib>Porto, Luis Cristovão De Moraes Sobrino</creatorcontrib><creatorcontrib>Chieppe, Alexandre</creatorcontrib><creatorcontrib>Werneck, Guilherme Loureiro</creatorcontrib><title>Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil</title><description>ABSTRACT OBJECTIVE To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2.</description><subject>Environmental and Occupational Health and Safety</subject><subject>FOS: Health sciences</subject><subject>FOS: Sociology</subject><subject>Sociology</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2021</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNo1z8tKxDAUgOFuXMjoG7jIA5iaNDezHItXBoXp4DacJidjoE2GdBD06UV0Vv_uh69prjhrNbuVN7NtY9ovH1Cx5VIwwbU6b14HrOVQ8RMmzB5JiQTyMdFhvR1oX95pR2AueU_GqZRAQsmlLiRlsk2FBCQvkDHVck3uKnyn6aI5izAtePnfVbN7uN_1T3Tz9vjcrzc0WK6owTh2gXvBorE2GB87lB681hqMt8EaGaxQoxGMBa6YGGNUFkF1bJRRM7Fq5N82wBF8OqI71DRD_XKcuV-tm607ad1JK34AUjxQHg</recordid><startdate>20210325</startdate><enddate>20210325</enddate><creator>Luiz Amorim Filho</creator><creator>Szwarcwald, Célia Landmann</creator><creator>Mateos, Sheila De Oliveira Garcia</creator><creator>Leon, Antonio Carlos Monteiro Ponce De</creator><creator>Medronho, Roberto De Andrade</creator><creator>Valdiléa Gonçalves Veloso</creator><creator>Lopes, Josiane Iole França</creator><creator>Porto, Luis Cristovão De Moraes Sobrino</creator><creator>Chieppe, Alexandre</creator><creator>Werneck, Guilherme Loureiro</creator><general>SciELO journals</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20210325</creationdate><title>Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil</title><author>Luiz Amorim Filho ; Szwarcwald, Célia Landmann ; Mateos, Sheila De Oliveira Garcia ; Leon, Antonio Carlos Monteiro Ponce De ; Medronho, Roberto De Andrade ; Valdiléa Gonçalves Veloso ; Lopes, Josiane Iole França ; Porto, Luis Cristovão De Moraes Sobrino ; Chieppe, Alexandre ; Werneck, Guilherme Loureiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-d915-7efb2d1c30f799d7cf2e4cac666a7c9d974d935b7300d1503bff59ea520b4f603</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Environmental and Occupational Health and Safety</topic><topic>FOS: Health sciences</topic><topic>FOS: Sociology</topic><topic>Sociology</topic><toplevel>online_resources</toplevel><creatorcontrib>Luiz Amorim Filho</creatorcontrib><creatorcontrib>Szwarcwald, Célia Landmann</creatorcontrib><creatorcontrib>Mateos, Sheila De Oliveira Garcia</creatorcontrib><creatorcontrib>Leon, Antonio Carlos Monteiro Ponce De</creatorcontrib><creatorcontrib>Medronho, Roberto De Andrade</creatorcontrib><creatorcontrib>Valdiléa Gonçalves Veloso</creatorcontrib><creatorcontrib>Lopes, Josiane Iole França</creatorcontrib><creatorcontrib>Porto, Luis Cristovão De Moraes Sobrino</creatorcontrib><creatorcontrib>Chieppe, Alexandre</creatorcontrib><creatorcontrib>Werneck, Guilherme Loureiro</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Luiz Amorim Filho</au><au>Szwarcwald, Célia Landmann</au><au>Mateos, Sheila De Oliveira Garcia</au><au>Leon, Antonio Carlos Monteiro Ponce De</au><au>Medronho, Roberto De Andrade</au><au>Valdiléa Gonçalves Veloso</au><au>Lopes, Josiane Iole França</au><au>Porto, Luis Cristovão De Moraes Sobrino</au><au>Chieppe, Alexandre</au><au>Werneck, Guilherme Loureiro</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil</title><date>2021-03-25</date><risdate>2021</risdate><abstract>ABSTRACT OBJECTIVE To estimate the seroprevalence of antibodies to SARS-CoV-2 among blood donors in the state of Rio de Janeiro, Brazil. METHODS Data were collected on 2,857 blood donors from April 14 to 27, 2020. This study reports crude prevalence of antibodies to SARS-CoV-2, population weighted prevalence for the state, and prevalence adjusted for test sensitivity and specificity. Logistic regression models were used to establish the correlates of SARS-CoV-2 prevalence. For the analysis, we considered collection period and site, sociodemographic characteristics, and place of residence. RESULTS The proportion of positive tests for SARS-Cov-2, without any adjustment, was 4.0% (95%CI 3.3–4.7%), and the weighted prevalence was 3.8% (95%CI 3.1–4.5%). We found lower estimates after adjusting for test sensitivity and specificity: 3.6% (95%CI 2.7–4.4%) for the non-weighted prevalence, and 3.3% (95%CI 2.6–4.1%) for the weighted prevalence. Collection period was the variable most significantly associated with crude prevalence: the later the period, the higher the prevalence. Regarding sociodemographic characteristics, the younger the blood donor, the higher the prevalence, and the lower the education level, the higher the odds of testing positive for SARS-Cov-2 antibody. We found similar results for weighted prevalence. CONCLUSIONS Our findings comply with some basic premises: the increasing trend over time, as the epidemic curve in the state is still on the rise; and the higher prevalence among both the youngest, for moving around more than older age groups, and the less educated, for encountering more difficulties in following social distancing recommendations. Despite the study limitations, we may infer that Rio de Janeiro is far from reaching the required levels of herd immunity against SARS-CoV-2.</abstract><pub>SciELO journals</pub><doi>10.6084/m9.figshare.14303165</doi><oa>free_for_read</oa></addata></record> |
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subjects | Environmental and Occupational Health and Safety FOS: Health sciences FOS: Sociology Sociology |
title | Seroprevalence of anti-SARS-CoV-2 among blood donors in Rio de Janeiro, Brazil |
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