GEOEPIDEMIOLOGICAL ANALYSIS OF THE OCCURRENCE OF COVID-19 CASES AND DEATHS IN BRAZILIAN PRISON SYSTEM SERVERS
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
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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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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1799944285000302592 |