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Lins ID, Raupp LS, Maior CBS, de Barros Felipe FC, Moura MJDC, de Santana JMM, dos Santos A, Victor de Arruda Freitas M, Silva RN, Henrique da Conceição E, Ferraz JC, Araújo A, Fernandes M, Gomes AL. SerumCovid database: Description and preliminary analysis of serological COVID-19 diagnosis in healthcare workers. PLoS One 2022; 17:e0265016. [PMID: 35298515 PMCID: PMC8929608 DOI: 10.1371/journal.pone.0265016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 02/22/2022] [Indexed: 11/30/2022] Open
Abstract
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.
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Affiliation(s)
- Isis Didier Lins
- CEERMA—Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil
- Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
| | - Leonardo Streck Raupp
- CEERMA—Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil
- Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
| | - Caio Bezerra Souto Maior
- CEERMA—Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil
- Techology Center, Universidade Federal de Pernambuco, Caruaru, Brazil
- * E-mail:
| | - Felipe Cavalcanti de Barros Felipe
- CEERMA—Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil
- Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
| | - Márcio José das Chagas Moura
- CEERMA—Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil
- Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
| | - João Mateus Marques de Santana
- CEERMA—Center for Risk Analysis, Reliability Engineering and Environmental Modeling, Universidade Federal de Pernambuco, Recife, Brazil
- Department of Production Engineering, Universidade Federal de Pernambuco, Recife, Brazil
| | - Alexsandro dos Santos
- Vitória Academic Center, Universidade Federal de Pernambuco, Vitória de Santo Antão, Brazil
| | | | - Ramon Nascimento Silva
- Vitória Academic Center, Universidade Federal de Pernambuco, Vitória de Santo Antão, Brazil
| | | | - José Cândido Ferraz
- Vitória Academic Center, Universidade Federal de Pernambuco, Vitória de Santo Antão, Brazil
| | - Alice Araújo
- Vitória Academic Center, Universidade Federal de Pernambuco, Vitória de Santo Antão, Brazil
| | - Mariana Fernandes
- Vitória Academic Center, Universidade Federal de Pernambuco, Vitória de Santo Antão, Brazil
| | - Ana Lisa Gomes
- Vitória Academic Center, Universidade Federal de Pernambuco, Vitória de Santo Antão, Brazil
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