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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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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
Descripción
Sumario: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.