Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
DOI: | 10.33448/rsd-v10i3.13197 |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/13197 |
Resumo: | Detecting factors associated with risk or protection for COVID-19 is essential to determine possible public prevention policies related to epidemic conditions. The objective of this study is to analyze the epidemiological profile, as well as to analyze the predictive variables of risk and protection for COVID-19, in the southern region of Brazil. An epidemiological study was carried out, based on a 34-week time series and based on the database on COVID-19 from the -19 from the State Secretariats of Health of Rio Grande do Sul, Santa Catarina and Paraná, Brazil. Calculations of prevalence, incidence, frequency tables, chi-square test, odds ratio and binary regression were used using the SPSS statistical program, v.22. The results of this study indicated that the variables state, sex, age and comorbidity predict the condition of infected people to recover, die, manifest symptoms or be hospitalized due to COVID-19. |
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oai:ojs.pkp.sfu.ca:article/13197 |
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UNIFEI |
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Research, Society and Development |
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Epidemiological profile and risk factors predictors of COVID-19 in southern BrazilPerfil epidemiológico y predictores de factores de riesgo para COVID-19 en el sur de BrasilPerfil epidemiológico e preditores de fatores de risco para a COVID-19 na região sul do BrasilCOVID-19PandemicEpidemiological profileOdds RatioRisk.COVID-19PandemiaPerfil epidemiológicoRazón de probabilidadesRiesgo.COVID-19PandemiaPerfil epidemiológicoRazão de chancesRisco.Detecting factors associated with risk or protection for COVID-19 is essential to determine possible public prevention policies related to epidemic conditions. The objective of this study is to analyze the epidemiological profile, as well as to analyze the predictive variables of risk and protection for COVID-19, in the southern region of Brazil. An epidemiological study was carried out, based on a 34-week time series and based on the database on COVID-19 from the -19 from the State Secretariats of Health of Rio Grande do Sul, Santa Catarina and Paraná, Brazil. Calculations of prevalence, incidence, frequency tables, chi-square test, odds ratio and binary regression were used using the SPSS statistical program, v.22. The results of this study indicated that the variables state, sex, age and comorbidity predict the condition of infected people to recover, die, manifest symptoms or be hospitalized due to COVID-19.La detección de factores asociados a riesgo o protección por COVID-19 es fundamental para determinar posibles políticas públicas de prevención relacionadas con condiciones epidémicas. El objetivo de este estudio es analizar el perfil epidemiológico, así como analizar las variables predictivas de riesgo y protección para COVID-19 en la región sur de Brasil. Se realizó un estudio epidemiológico, basado en una serie de tiempo de 34 semanas y con base en la base de datos sobre COVID-19 de las Secretarías de Salud de los Estados de Rio Grande do Sul, Santa Catarina y Paraná. Se utilizaron los cálculos de prevalencia, incidencia, tablas de frecuencia, prueba de chi-cuadrado, razón de probabilidades y regresión binaria mediante el programa estadístico SPSS, v.22. Los resultados de este estudio indicaron que las variables estado, sexo, edad y comorbilidad predicen la condición de las personas infectadas para recuperarse, morir, manifestar síntomas o ser hospitalizadas por COVID-19.Detectar fatores associados ao risco ou à proteção para a COVID-19 é imprescindível para se determinar possíveis políticas públicas de prevenção relacionadas às condições epidêmicas. O objetivo deste estudo é analisar o perfil epidemiológico, bem como analisar as variáveis preditoras de risco e proteção para a COVID-19 na região sul do Brasil. Foi realizado um estudo epidemiológico, com base em uma série temporal de 34 semanas e a partir da base de dados sobre a COVID-19 provenientes das Secretarias de Estado da Saúde do Rio Grande do Sul, Santa Catarina e Paraná. Foram utilizados cálculos de prevalência, incidência, tabelas de frequência, teste qui-quadrado, razão de chance (odds ratio) e regressão binária por meio do programa estatístico SPSS, v.22. Os resultados deste estudo indicaram que as variáveis estado, sexo, faixa etária e comorbidade predizem a condição de pessoas contaminadas de se recuperarem, falecerem, manifestarem sintomas ou serem internadas em virtude da COVID-19.Research, Society and Development2021-03-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1319710.33448/rsd-v10i3.13197Research, Society and Development; Vol. 10 No. 3; e17710313197Research, Society and Development; Vol. 10 Núm. 3; e17710313197Research, Society and Development; v. 10 n. 3; e177103131972525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/13197/11866Copyright (c) 2021 Sarah Gisele Martins Klokner; Ramsés Antunes da Luz; Pedro Henrique de Moura Araujo; Janete Knapik; Synara Sepúlveda Sales; Grasiela Torrico; Fernanda Pereira Labiak; Maria Julia Pegoraro Gai; Clarissa Venturieri; Rafael Frasson; Adelino Domingos Onofre; Roberto Moraes Cruzhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessKlokner, Sarah Gisele Martins Luz, Ramsés Antunes da Araujo, Pedro Henrique de Moura Knapik, Janete Sales, Synara Sepúlveda Torrico, Grasiela Labiak, Fernanda Pereira Gai, Maria Julia Pegoraro Venturieri, Clarissa Frasson, Rafael Onofre, Adelino Domingos Cruz, Roberto Moraes 2021-03-28T12:03:35Zoai:ojs.pkp.sfu.ca:article/13197Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:34:35.922540Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil Perfil epidemiológico y predictores de factores de riesgo para COVID-19 en el sur de Brasil Perfil epidemiológico e preditores de fatores de risco para a COVID-19 na região sul do Brasil |
title |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil |
spellingShingle |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil Klokner, Sarah Gisele Martins COVID-19 Pandemic Epidemiological profile Odds Ratio Risk. COVID-19 Pandemia Perfil epidemiológico Razón de probabilidades Riesgo. COVID-19 Pandemia Perfil epidemiológico Razão de chances Risco. Klokner, Sarah Gisele Martins COVID-19 Pandemic Epidemiological profile Odds Ratio Risk. COVID-19 Pandemia Perfil epidemiológico Razón de probabilidades Riesgo. COVID-19 Pandemia Perfil epidemiológico Razão de chances Risco. |
title_short |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil |
title_full |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil |
title_fullStr |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil |
title_full_unstemmed |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil |
title_sort |
Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil |
author |
Klokner, Sarah Gisele Martins |
author_facet |
Klokner, Sarah Gisele Martins Klokner, Sarah Gisele Martins Luz, Ramsés Antunes da Araujo, Pedro Henrique de Moura Knapik, Janete Sales, Synara Sepúlveda Torrico, Grasiela Labiak, Fernanda Pereira Gai, Maria Julia Pegoraro Venturieri, Clarissa Frasson, Rafael Onofre, Adelino Domingos Cruz, Roberto Moraes Luz, Ramsés Antunes da Araujo, Pedro Henrique de Moura Knapik, Janete Sales, Synara Sepúlveda Torrico, Grasiela Labiak, Fernanda Pereira Gai, Maria Julia Pegoraro Venturieri, Clarissa Frasson, Rafael Onofre, Adelino Domingos Cruz, Roberto Moraes |
author_role |
author |
author2 |
Luz, Ramsés Antunes da Araujo, Pedro Henrique de Moura Knapik, Janete Sales, Synara Sepúlveda Torrico, Grasiela Labiak, Fernanda Pereira Gai, Maria Julia Pegoraro Venturieri, Clarissa Frasson, Rafael Onofre, Adelino Domingos Cruz, Roberto Moraes |
author2_role |
author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Klokner, Sarah Gisele Martins Luz, Ramsés Antunes da Araujo, Pedro Henrique de Moura Knapik, Janete Sales, Synara Sepúlveda Torrico, Grasiela Labiak, Fernanda Pereira Gai, Maria Julia Pegoraro Venturieri, Clarissa Frasson, Rafael Onofre, Adelino Domingos Cruz, Roberto Moraes |
dc.subject.por.fl_str_mv |
COVID-19 Pandemic Epidemiological profile Odds Ratio Risk. COVID-19 Pandemia Perfil epidemiológico Razón de probabilidades Riesgo. COVID-19 Pandemia Perfil epidemiológico Razão de chances Risco. |
topic |
COVID-19 Pandemic Epidemiological profile Odds Ratio Risk. COVID-19 Pandemia Perfil epidemiológico Razón de probabilidades Riesgo. COVID-19 Pandemia Perfil epidemiológico Razão de chances Risco. |
description |
Detecting factors associated with risk or protection for COVID-19 is essential to determine possible public prevention policies related to epidemic conditions. The objective of this study is to analyze the epidemiological profile, as well as to analyze the predictive variables of risk and protection for COVID-19, in the southern region of Brazil. An epidemiological study was carried out, based on a 34-week time series and based on the database on COVID-19 from the -19 from the State Secretariats of Health of Rio Grande do Sul, Santa Catarina and Paraná, Brazil. Calculations of prevalence, incidence, frequency tables, chi-square test, odds ratio and binary regression were used using the SPSS statistical program, v.22. The results of this study indicated that the variables state, sex, age and comorbidity predict the condition of infected people to recover, die, manifest symptoms or be hospitalized due to COVID-19. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-11 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/13197 10.33448/rsd-v10i3.13197 |
url |
https://rsdjournal.org/index.php/rsd/article/view/13197 |
identifier_str_mv |
10.33448/rsd-v10i3.13197 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/13197/11866 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 3; e17710313197 Research, Society and Development; Vol. 10 Núm. 3; e17710313197 Research, Society and Development; v. 10 n. 3; e17710313197 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1822178887339081728 |
dc.identifier.doi.none.fl_str_mv |
10.33448/rsd-v10i3.13197 |