GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS

Detalhes bibliográficos
Autor(a) principal: Oliveira, Raquel Alves de
Data de Publicação: 2023
Outros Autores: Teles, Davi Oliveira, Siqueira, Cícero Mendes, Martins, Bianca Cavalcante, Moura, Luiz Gustavo Mendes de, Soares, Paula Renata Amorim Lessa, Ribeiro, Samila Gomes, Pinheiro, Ana Karina Bezerra
Tipo de documento: Artigo
Idioma: por
Título da fonte: Hygeia (Uberlândia)
Texto Completo: https://seer.ufu.br/index.php/hygeia/article/view/68547
Resumo: Health data analysis is essential for health promotion, prevention and care. The objective of this study is to analyze the geoepidemiological and temporal context of SARS-Cov-2 infection in Brazilian prison system professionals. This is an epidemiological study of the ecological type with data collected from the Information System of the National Penitentiary Department from June 2020 to January 2022 on the number of cases and deaths of servers working in the prison system in Brazil during the COVID-19. The data were organized and divided into timeframes of the first wave, second wave and beginning of immunization and were tabulated in Google Sheets and incorporated in Jupyter Notebook and QGis. In the first wave, São Paulo (22,054) and Pará (11,989) presented the most cases. As for the number of deaths, São Paulo was the most affected, with 505 deaths. In the second wave, São Paulo (15,836) and Minas Gerais (7,292) presented the highest number of cases and São Paulo (250), most deaths. At the beginning of immunization, São Paulo stands out with 99,942 cases and 2,445 deaths. Therefore, most cases and deaths related to COVID-19 affected the Southeast and North regions.
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spelling GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERSANÁLISE GEOEPIDEMIOLÓGICA DA OCORRÊNCIA DE CASOS E ÓBITOS POR COVID-19 NOS SERVIDORES DO SISTEMA PENITENCIÁRIO DO BRASILEmpregados do governoIncidênciaMortalidadePrisõesGovernment employeesIncidenceMortalityPrisonsHealth data analysis is essential for health promotion, prevention and care. The objective of this study is to analyze the geoepidemiological and temporal context of SARS-Cov-2 infection in Brazilian prison system professionals. This is an epidemiological study of the ecological type with data collected from the Information System of the National Penitentiary Department from June 2020 to January 2022 on the number of cases and deaths of servers working in the prison system in Brazil during the COVID-19. The data were organized and divided into timeframes of the first wave, second wave and beginning of immunization and were tabulated in Google Sheets and incorporated in Jupyter Notebook and QGis. In the first wave, São Paulo (22,054) and Pará (11,989) presented the most cases. As for the number of deaths, São Paulo was the most affected, with 505 deaths. In the second wave, São Paulo (15,836) and Minas Gerais (7,292) presented the highest number of cases and São Paulo (250), most deaths. At the beginning of immunization, São Paulo stands out with 99,942 cases and 2,445 deaths. Therefore, most cases and deaths related to COVID-19 affected the Southeast and North regions.A análise de dados em saúde é essencial para promoção, prevenção e assistência à saúde. Objetiva-se analisar o contexto geoepidemiológico e temporal da infecção pelo SARS-Cov-2 em profissionais do sistema penitenciário brasileiro. Trata-se de um estudo epidemiológico do tipo ecológico com dados coletados do Sistema de Informações do Departamento Penitenciário Nacional no período de junho de 2020 a janeiro de 2022 sobre a quantidade de casos e óbitos dos servidores que atuam no sistema prisional do Brasil durante a COVID-19. Os dados foram organizados e divididos em marcos temporais da primeira onda, segunda onda e início da imunização, e foram tabulados no Google Sheets e incorporados no Jupyter Notebook e no QGis. Na primeira onda, São Paulo (22.054) e Pará (11.989) apresentaram a maioria dos casos. Quanto à quantidade de óbitos, São Paulo foi o mais acometido, com 505 óbitos. Na segunda onda, São Paulo (15.836) e Minas Gerais (7.292) apresentaram a maior quantidade de casos e São Paulo (250), a maioria dos óbitos. No início da imunização, destaca-se São Paulo com 99.942 casos e 2.445 óbitos. Conclui-se que a maior parte dos casos e óbitos relacionados à COVID-19 acometeram as regiões Sudeste e Norte.Universidade Federal de Uberlândia2023-12-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/hygeia/article/view/6854710.14393/Hygeia1968547Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 19 (2023); e19371980-1726reponame:Hygeia (Uberlândia)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/hygeia/article/view/68547/37311Copyright (c) 2023 Raquel Alves de Oliveira, Davi Oliveira Teles, Cícero Mendes Siqueira, Bianca Cavalcante Martins, Luiz Gustavo Mendes de Moura, Paula Renata Amorim Lessa Soares, Samila Gomes Ribeiro, Ana Karina Bezerra Pinheiroinfo:eu-repo/semantics/openAccessOliveira, Raquel Alves deTeles, Davi OliveiraSiqueira, Cícero MendesMartins, Bianca CavalcanteMoura, Luiz Gustavo Mendes deSoares, Paula Renata Amorim LessaRibeiro, Samila GomesPinheiro, Ana Karina Bezerra2023-12-14T17:25:22Zoai:ojs.www.seer.ufu.br:article/68547Revistahttps://seer.ufu.br/index.php/hygeiaPUBhttps://seer.ufu.br/index.php/hygeia/oaisamuel@ufu.br||flavia.santos@ufu.br1980-17261980-1726opendoar:2023-12-14T17:25:22Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
ANÁLISE GEOEPIDEMIOLÓGICA DA OCORRÊNCIA DE CASOS E ÓBITOS POR COVID-19 NOS SERVIDORES DO SISTEMA PENITENCIÁRIO DO BRASIL
title GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
spellingShingle GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
Oliveira, Raquel Alves de
Empregados do governo
Incidência
Mortalidade
Prisões
Government employees
Incidence
Mortality
Prisons
title_short GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
title_full GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
title_fullStr GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
title_full_unstemmed GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
title_sort GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
author Oliveira, Raquel Alves de
author_facet Oliveira, Raquel Alves de
Teles, Davi Oliveira
Siqueira, Cícero Mendes
Martins, Bianca Cavalcante
Moura, Luiz Gustavo Mendes de
Soares, Paula Renata Amorim Lessa
Ribeiro, Samila Gomes
Pinheiro, Ana Karina Bezerra
author_role author
author2 Teles, Davi Oliveira
Siqueira, Cícero Mendes
Martins, Bianca Cavalcante
Moura, Luiz Gustavo Mendes de
Soares, Paula Renata Amorim Lessa
Ribeiro, Samila Gomes
Pinheiro, Ana Karina Bezerra
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Raquel Alves de
Teles, Davi Oliveira
Siqueira, Cícero Mendes
Martins, Bianca Cavalcante
Moura, Luiz Gustavo Mendes de
Soares, Paula Renata Amorim Lessa
Ribeiro, Samila Gomes
Pinheiro, Ana Karina Bezerra
dc.subject.por.fl_str_mv Empregados do governo
Incidência
Mortalidade
Prisões
Government employees
Incidence
Mortality
Prisons
topic Empregados do governo
Incidência
Mortalidade
Prisões
Government employees
Incidence
Mortality
Prisons
description Health data analysis is essential for health promotion, prevention and care. The objective of this study is to analyze the geoepidemiological and temporal context of SARS-Cov-2 infection in Brazilian prison system professionals. This is an epidemiological study of the ecological type with data collected from the Information System of the National Penitentiary Department from June 2020 to January 2022 on the number of cases and deaths of servers working in the prison system in Brazil during the COVID-19. The data were organized and divided into timeframes of the first wave, second wave and beginning of immunization and were tabulated in Google Sheets and incorporated in Jupyter Notebook and QGis. In the first wave, São Paulo (22,054) and Pará (11,989) presented the most cases. As for the number of deaths, São Paulo was the most affected, with 505 deaths. In the second wave, São Paulo (15,836) and Minas Gerais (7,292) presented the highest number of cases and São Paulo (250), most deaths. At the beginning of immunization, São Paulo stands out with 99,942 cases and 2,445 deaths. Therefore, most cases and deaths related to COVID-19 affected the Southeast and North regions.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-14
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://seer.ufu.br/index.php/hygeia/article/view/68547
10.14393/Hygeia1968547
url https://seer.ufu.br/index.php/hygeia/article/view/68547
identifier_str_mv 10.14393/Hygeia1968547
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/hygeia/article/view/68547/37311
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Uberlândia
publisher.none.fl_str_mv Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Hygeia - Revista Brasileira de Geografia Médica e da Saúde; v. 19 (2023); e1937
1980-1726
reponame:Hygeia (Uberlândia)
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Hygeia (Uberlândia)
collection Hygeia (Uberlândia)
repository.name.fl_str_mv Hygeia (Uberlândia) - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv samuel@ufu.br||flavia.santos@ufu.br
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