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Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study
In December 2019, a novel coronavirus was detected in Wuhan, China, and rapidly spread worldwide. In Brazil, to date, there have been more than 20,000,000 confirmed cases of COVID-19 and more than 550,000 deaths. The purpose of the current study was to determine the clinical and epidemiological prof...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708485/ https://www.ncbi.nlm.nih.gov/pubmed/34960731 http://dx.doi.org/10.3390/v13122462 |
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author | Ferreira, Fabrício Barbosa Barbosa Costa, Galileu Sevá, Anaiá da Paixão Albuquerque, George Rego Mariano, Ana Paula Melo Sampaio Lopes, Amanda Teixeira Fehlberg, Hllytchaikra Ferraz Santos de Santana, Íris Terezinha dos Santos, Pérola Rodrigues Santos, Luciano Cardoso Silva de Jesus, Laine Lopes Fontana, Renato Maciel, Bianca Mendes Silva, Mylene de Melo Barreto, Luane Etienne Gadelha, Sandra Rocha |
author_facet | Ferreira, Fabrício Barbosa Barbosa Costa, Galileu Sevá, Anaiá da Paixão Albuquerque, George Rego Mariano, Ana Paula Melo Sampaio Lopes, Amanda Teixeira Fehlberg, Hllytchaikra Ferraz Santos de Santana, Íris Terezinha dos Santos, Pérola Rodrigues Santos, Luciano Cardoso Silva de Jesus, Laine Lopes Fontana, Renato Maciel, Bianca Mendes Silva, Mylene de Melo Barreto, Luane Etienne Gadelha, Sandra Rocha |
author_sort | Ferreira, Fabrício Barbosa |
collection | PubMed |
description | In December 2019, a novel coronavirus was detected in Wuhan, China, and rapidly spread worldwide. In Brazil, to date, there have been more than 20,000,000 confirmed cases of COVID-19 and more than 550,000 deaths. The purpose of the current study was to determine the clinical and epidemiological profile of the population affected by COVID-19 that have attended referral hospitals in Southern region of Bahia State, to better understand the disease and its risk factors in order to enable more appropriate conduct for patients. An observational, descriptive, cross-sectional, exploratory study was conducted using secondary data collected from the Laboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz (LAFEM/UESC). Chi-squared and Fisher’s exact tests were applied to determine the association between clinical symptoms and laboratory results, and to identify risk factors associated with SARS-CoV-2 infection. A total of 3135 individuals with suspected severe respiratory illness were analyzed and 41.4% of them tested positive for SARS-CoV-2 infection. Male individuals and having comorbidities were risk factors significantly associated with SARS-CoV-2 infection (OR = 1.17 and OR = 1.37, respectively). Interestingly, being a healthcare professional was a significantly protective factor (OR = 0.81, p < 0.001). Our findings highlight the importance of routinely testing the population for early identification of infected individuals, and also provide important information to health authorities and police makers to improve control measures, management, and screening protocols. |
format | Online Article Text |
id | pubmed-8708485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87084852021-12-25 Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study Ferreira, Fabrício Barbosa Barbosa Costa, Galileu Sevá, Anaiá da Paixão Albuquerque, George Rego Mariano, Ana Paula Melo Sampaio Lopes, Amanda Teixeira Fehlberg, Hllytchaikra Ferraz Santos de Santana, Íris Terezinha dos Santos, Pérola Rodrigues Santos, Luciano Cardoso Silva de Jesus, Laine Lopes Fontana, Renato Maciel, Bianca Mendes Silva, Mylene de Melo Barreto, Luane Etienne Gadelha, Sandra Rocha Viruses Article In December 2019, a novel coronavirus was detected in Wuhan, China, and rapidly spread worldwide. In Brazil, to date, there have been more than 20,000,000 confirmed cases of COVID-19 and more than 550,000 deaths. The purpose of the current study was to determine the clinical and epidemiological profile of the population affected by COVID-19 that have attended referral hospitals in Southern region of Bahia State, to better understand the disease and its risk factors in order to enable more appropriate conduct for patients. An observational, descriptive, cross-sectional, exploratory study was conducted using secondary data collected from the Laboratório de Farmacogenômica e Epidemiologia Molecular, Universidade Estadual de Santa Cruz (LAFEM/UESC). Chi-squared and Fisher’s exact tests were applied to determine the association between clinical symptoms and laboratory results, and to identify risk factors associated with SARS-CoV-2 infection. A total of 3135 individuals with suspected severe respiratory illness were analyzed and 41.4% of them tested positive for SARS-CoV-2 infection. Male individuals and having comorbidities were risk factors significantly associated with SARS-CoV-2 infection (OR = 1.17 and OR = 1.37, respectively). Interestingly, being a healthcare professional was a significantly protective factor (OR = 0.81, p < 0.001). Our findings highlight the importance of routinely testing the population for early identification of infected individuals, and also provide important information to health authorities and police makers to improve control measures, management, and screening protocols. MDPI 2021-12-09 /pmc/articles/PMC8708485/ /pubmed/34960731 http://dx.doi.org/10.3390/v13122462 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ferreira, Fabrício Barbosa Barbosa Costa, Galileu Sevá, Anaiá da Paixão Albuquerque, George Rego Mariano, Ana Paula Melo Sampaio Lopes, Amanda Teixeira Fehlberg, Hllytchaikra Ferraz Santos de Santana, Íris Terezinha dos Santos, Pérola Rodrigues Santos, Luciano Cardoso Silva de Jesus, Laine Lopes Fontana, Renato Maciel, Bianca Mendes Silva, Mylene de Melo Barreto, Luane Etienne Gadelha, Sandra Rocha Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study |
title | Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study |
title_full | Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study |
title_fullStr | Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study |
title_full_unstemmed | Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study |
title_short | Characteristics and Factors Associated with SARS-CoV-2 Infections in Individuals That Attended Referral Hospitals from Southern Region of Bahia State, Brazil: A Surveillance Network Retrospective Study |
title_sort | characteristics and factors associated with sars-cov-2 infections in individuals that attended referral hospitals from southern region of bahia state, brazil: a surveillance network retrospective study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708485/ https://www.ncbi.nlm.nih.gov/pubmed/34960731 http://dx.doi.org/10.3390/v13122462 |
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