Epidemiological profile and risk factors predictors of COVID-19 in southern Brazil

Detalhes bibliográficos
Autor(a) principal: Klokner, Sarah Gisele Martins
Data de Publicação: 2021
Outros Autores: 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
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.
id UNIFEI_d58b72b7b670cd3fd59618a09a3f67bb
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spelling 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
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dc.identifier.doi.none.fl_str_mv 10.33448/rsd-v10i3.13197