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SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers
Serological databases represent an important source of information to perceive COVID-19 impact on health professionals involved in combating the disease. This paper describes SerumCovid, a COVID-19 serological database focused on the diagnosis of health professionals, providing a preliminary analysi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929608/ https://www.ncbi.nlm.nih.gov/pubmed/35298515 http://dx.doi.org/10.1371/journal.pone.0265016 |
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author | Lins, Isis Didier Raupp, Leonardo Streck Maior, Caio Bezerra Souto de Barros Felipe, Felipe Cavalcanti Moura, Márcio José das Chagas de Santana, João Mateus Marques dos Santos, Alexsandro Victor de Arruda Freitas, Marcelo Silva, Ramon Nascimento Henrique da Conceição, Ewerton Ferraz, José Cândido Araújo, Alice Fernandes, Mariana Gomes, Ana Lisa |
author_facet | Lins, Isis Didier Raupp, Leonardo Streck Maior, Caio Bezerra Souto de Barros Felipe, Felipe Cavalcanti Moura, Márcio José das Chagas de Santana, João Mateus Marques dos Santos, Alexsandro Victor de Arruda Freitas, Marcelo Silva, Ramon Nascimento Henrique da Conceição, Ewerton Ferraz, José Cândido Araújo, Alice Fernandes, Mariana Gomes, Ana Lisa |
author_sort | Lins, Isis Didier |
collection | PubMed |
description | Serological databases represent an important source of information to perceive COVID-19 impact on health professionals involved in combating the disease. This paper describes SerumCovid, a COVID-19 serological database focused on the diagnosis of health professionals, providing a preliminary analysis to contribute to the understanding of the antibody response to the SARS-CoV-2. The study population comprises 321 samples from 236 healthcare and frontline workers fighting COVID-19 in Vitória de Santo Antão, Brazil. Samples were collected from at least six days of symptoms to more than 100 days. The used immunoenzymatic assays were Euroimmun Anti-SARS-CoV-2 ELISA IgG and IgA. The most common gender in SerumCovid is female, while the most common age group is between 30 and 39 years old. However, no statistical differences were observed in either genders or age categories. The most reported symptoms were fatigue, headaches, and myalgia. Still, some subjects presented positive results for IgA after 130 days. Based on a temporal analysis, we have not identified general patterns as subjects presented high and low values of IgA and IgG with different evolution trends. Unexpectedly, for subjects with both serological tests, the outcome of IgA and IgG tests were the same (either positive or negative) for more than 80% of the samples. Therefore, SerumCovid helps better understand how COVID-19 affected healthcare and frontline workers, which increases knowledge about the infection and enables direct prevention actions. |
format | Online Article Text |
id | pubmed-8929608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-89296082022-03-18 SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers Lins, Isis Didier Raupp, Leonardo Streck Maior, Caio Bezerra Souto de Barros Felipe, Felipe Cavalcanti Moura, Márcio José das Chagas de Santana, João Mateus Marques dos Santos, Alexsandro Victor de Arruda Freitas, Marcelo Silva, Ramon Nascimento Henrique da Conceição, Ewerton Ferraz, José Cândido Araújo, Alice Fernandes, Mariana Gomes, Ana Lisa PLoS One Research Article Serological databases represent an important source of information to perceive COVID-19 impact on health professionals involved in combating the disease. This paper describes SerumCovid, a COVID-19 serological database focused on the diagnosis of health professionals, providing a preliminary analysis to contribute to the understanding of the antibody response to the SARS-CoV-2. The study population comprises 321 samples from 236 healthcare and frontline workers fighting COVID-19 in Vitória de Santo Antão, Brazil. Samples were collected from at least six days of symptoms to more than 100 days. The used immunoenzymatic assays were Euroimmun Anti-SARS-CoV-2 ELISA IgG and IgA. The most common gender in SerumCovid is female, while the most common age group is between 30 and 39 years old. However, no statistical differences were observed in either genders or age categories. The most reported symptoms were fatigue, headaches, and myalgia. Still, some subjects presented positive results for IgA after 130 days. Based on a temporal analysis, we have not identified general patterns as subjects presented high and low values of IgA and IgG with different evolution trends. Unexpectedly, for subjects with both serological tests, the outcome of IgA and IgG tests were the same (either positive or negative) for more than 80% of the samples. Therefore, SerumCovid helps better understand how COVID-19 affected healthcare and frontline workers, which increases knowledge about the infection and enables direct prevention actions. Public Library of Science 2022-03-17 /pmc/articles/PMC8929608/ /pubmed/35298515 http://dx.doi.org/10.1371/journal.pone.0265016 Text en © 2022 Lins et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lins, Isis Didier Raupp, Leonardo Streck Maior, Caio Bezerra Souto de Barros Felipe, Felipe Cavalcanti Moura, Márcio José das Chagas de Santana, João Mateus Marques dos Santos, Alexsandro Victor de Arruda Freitas, Marcelo Silva, Ramon Nascimento Henrique da Conceição, Ewerton Ferraz, José Cândido Araújo, Alice Fernandes, Mariana Gomes, Ana Lisa SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers |
title | SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers |
title_full | SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers |
title_fullStr | SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers |
title_full_unstemmed | SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers |
title_short | SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers |
title_sort | serumcovid database: description and preliminary analysis of serological covid-19 diagnosis in healthcare workers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929608/ https://www.ncbi.nlm.nih.gov/pubmed/35298515 http://dx.doi.org/10.1371/journal.pone.0265016 |
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