EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Holos |
Texto Completo: | http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/10979 |
Resumo: | The objective of this study was to evaluate the epidemiological profile of people affected with Severe Acute Respiratory Syndrome (SARS) caused by COVID-19 in the state of Bahia, from March 7 to June 5, 2020. It is an epidemiological, retrospective and documentary study, in which data collection was performed through the “Monitora Covid-19”. The variables analyzed were: week of notification, sex, age and the number of deaths. The absolute and relative frequencies were analyzed and the Chi-Square test of Independence was applied, in which p <0.05 was considered statistically significant. There were 26,418 cases of covid-19 in the State of Bahia, with 1,977 of those affected developing SARS. Male individuals (54.9%) and older than 60 years old (50.9%) were the most prevalent, however there was no statistically significant association between the variables (p = 0.372). Of the 806 deaths, there was a higher mortality in men (56.7%) with a lethality rate of 42.1%. In addition, there was a positive association for death in individuals aged 60 years or older and a positive association for absence of death between individuals aged 0 to 19 years and 20 to 59 years (p <0.001). Based on what has been exposed, there is an accelerated growth in the number of people affected by COVID-19 in Bahia in the three months analyzed. |
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EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIACoronavirus infectionsCOVID-19SARS-CoV-2EpidemiologyCoronavirusThe objective of this study was to evaluate the epidemiological profile of people affected with Severe Acute Respiratory Syndrome (SARS) caused by COVID-19 in the state of Bahia, from March 7 to June 5, 2020. It is an epidemiological, retrospective and documentary study, in which data collection was performed through the “Monitora Covid-19”. The variables analyzed were: week of notification, sex, age and the number of deaths. The absolute and relative frequencies were analyzed and the Chi-Square test of Independence was applied, in which p <0.05 was considered statistically significant. There were 26,418 cases of covid-19 in the State of Bahia, with 1,977 of those affected developing SARS. Male individuals (54.9%) and older than 60 years old (50.9%) were the most prevalent, however there was no statistically significant association between the variables (p = 0.372). Of the 806 deaths, there was a higher mortality in men (56.7%) with a lethality rate of 42.1%. In addition, there was a positive association for death in individuals aged 60 years or older and a positive association for absence of death between individuals aged 0 to 19 years and 20 to 59 years (p <0.001). Based on what has been exposed, there is an accelerated growth in the number of people affected by COVID-19 in Bahia in the three months analyzed.Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte2020-11-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/1097910.15628/holos.2020.10979HOLOS; v. 5 (2020); 1-111807-1600reponame:Holosinstname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNenghttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/10979/pdfCopyright (c) 2020 HOLOSinfo:eu-repo/semantics/openAccessAzevedo Ferreira, DaviBernardo da Silva, WagnerPontes da Silva, AlisonAraújo Eloy, MateusVilar Cordeiro, LaísaPatrício de Andrade Júnior, Francisco2022-05-01T19:16:13Zoai:holos.ifrn.edu.br:article/10979Revistahttp://www2.ifrn.edu.br/ojs/index.php/HOLOSPUBhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/oaiholos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br1807-16001518-1634opendoar:2022-05-01T19:16:13Holos - Instituto Federal do Rio Grande do Norte (IFRN)false |
dc.title.none.fl_str_mv |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
title |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
spellingShingle |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA Azevedo Ferreira, Davi Coronavirus infections COVID-19 SARS-CoV-2 Epidemiology Coronavirus |
title_short |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
title_full |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
title_fullStr |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
title_full_unstemmed |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
title_sort |
EPIDEMIOLOGY OF SEVERE ACUTE RESPIRATORY SYNDROME (SARS) CAUSED BY COVID-19 IN THE STATE OF BAHIA |
author |
Azevedo Ferreira, Davi |
author_facet |
Azevedo Ferreira, Davi Bernardo da Silva, Wagner Pontes da Silva, Alison Araújo Eloy, Mateus Vilar Cordeiro, Laísa Patrício de Andrade Júnior, Francisco |
author_role |
author |
author2 |
Bernardo da Silva, Wagner Pontes da Silva, Alison Araújo Eloy, Mateus Vilar Cordeiro, Laísa Patrício de Andrade Júnior, Francisco |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Azevedo Ferreira, Davi Bernardo da Silva, Wagner Pontes da Silva, Alison Araújo Eloy, Mateus Vilar Cordeiro, Laísa Patrício de Andrade Júnior, Francisco |
dc.subject.por.fl_str_mv |
Coronavirus infections COVID-19 SARS-CoV-2 Epidemiology Coronavirus |
topic |
Coronavirus infections COVID-19 SARS-CoV-2 Epidemiology Coronavirus |
description |
The objective of this study was to evaluate the epidemiological profile of people affected with Severe Acute Respiratory Syndrome (SARS) caused by COVID-19 in the state of Bahia, from March 7 to June 5, 2020. It is an epidemiological, retrospective and documentary study, in which data collection was performed through the “Monitora Covid-19”. The variables analyzed were: week of notification, sex, age and the number of deaths. The absolute and relative frequencies were analyzed and the Chi-Square test of Independence was applied, in which p <0.05 was considered statistically significant. There were 26,418 cases of covid-19 in the State of Bahia, with 1,977 of those affected developing SARS. Male individuals (54.9%) and older than 60 years old (50.9%) were the most prevalent, however there was no statistically significant association between the variables (p = 0.372). Of the 806 deaths, there was a higher mortality in men (56.7%) with a lethality rate of 42.1%. In addition, there was a positive association for death in individuals aged 60 years or older and a positive association for absence of death between individuals aged 0 to 19 years and 20 to 59 years (p <0.001). Based on what has been exposed, there is an accelerated growth in the number of people affected by COVID-19 in Bahia in the three months analyzed. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-17 |
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 |
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/10979 10.15628/holos.2020.10979 |
url |
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/10979 |
identifier_str_mv |
10.15628/holos.2020.10979 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/10979/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 HOLOS info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 HOLOS |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte |
publisher.none.fl_str_mv |
Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte |
dc.source.none.fl_str_mv |
HOLOS; v. 5 (2020); 1-11 1807-1600 reponame:Holos instname:Instituto Federal do Rio Grande do Norte (IFRN) instacron:IFRN |
instname_str |
Instituto Federal do Rio Grande do Norte (IFRN) |
instacron_str |
IFRN |
institution |
IFRN |
reponame_str |
Holos |
collection |
Holos |
repository.name.fl_str_mv |
Holos - Instituto Federal do Rio Grande do Norte (IFRN) |
repository.mail.fl_str_mv |
holos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br |
_version_ |
1798951625666068480 |