Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará

Detalhes bibliográficos
Autor(a) principal: Sousa, Aline Andrade de
Data de Publicação: 2021
Outros Autores: Pinho, Débora Natassia Carneiro de, Silva, Danyela Haykel Claro dos Santos, Silva, Márcia Cristina Freitas da, Ferreira, Denis Vieira Gomes, Soares, Felipe da Costa, Coelho, Alexandre Apolo Silva, Braga, Fernando Cesar de Souza, Bezerra, Antônio Marcos Almeida, Lima, Sérgio Beltrão de Andrade, Silva, Leonardo de Oliveira Rodrigues da, Silva Júnior, Ademir Ferreira da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/12086
Resumo: Introduction: The COVID-19 pandemic, caused by SARS-CoV-2, causes everything from asymptomatic infections to severe acute respiratory syndrome, which can sometimes be fatal, requiring coping. Objective: To analyze the epidemiology of COVID-19 in the six mesoregions of the state of Pará, correlating it with the Average Human Development Index (HDIm) and the percentage of sewage treatment in the state. Methods: This is a cross-sectional descriptive study with a quantitative approach, carried out by collecting secondary data from the cases of COVID-19, collected from March 7 to May 30, 2020, and socio-demographic data from the six mesoregions. of the state of Pará. Results: 267,700 confirmed cases of COVID-19 were reported throughout the state of Pará. The mesoregions of the Southeast of Pará and the Metropolitan Region of Belém, presented the highest values, with 81,556 and 71,117, respectively. There was no difference in the number of cases between genders, however the two age groups most affected by the infection are between 30 and 39 years old (64,138 cases) and 40 to 49 years old (51,535 cases). Among the most prevalent comorbidities are Heart Diseases and Diabetes. Conclusion: The highest incidence rates of COVID-19 are concentrated in mesoregions with a large flow of people, with a tendency for sociodemographic aspects to be related to the epidemiology of COVID-19 in mesoregions of the state of Pará.
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spelling Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará Análisis de casos COVID-19 y datos sociodemográficos en las mesorregiones del estado del Pará Análise dos casos de COVID-19 e de dados sociodemográficos nas mesorregiões do estado do Pará COVID-19EpidemiologiaMesorregiãoPará.COVID-19EpidemiologyMesoregionPará.EpidemiologíaMesorregiónCOVID-19Pará.Introduction: The COVID-19 pandemic, caused by SARS-CoV-2, causes everything from asymptomatic infections to severe acute respiratory syndrome, which can sometimes be fatal, requiring coping. Objective: To analyze the epidemiology of COVID-19 in the six mesoregions of the state of Pará, correlating it with the Average Human Development Index (HDIm) and the percentage of sewage treatment in the state. Methods: This is a cross-sectional descriptive study with a quantitative approach, carried out by collecting secondary data from the cases of COVID-19, collected from March 7 to May 30, 2020, and socio-demographic data from the six mesoregions. of the state of Pará. Results: 267,700 confirmed cases of COVID-19 were reported throughout the state of Pará. The mesoregions of the Southeast of Pará and the Metropolitan Region of Belém, presented the highest values, with 81,556 and 71,117, respectively. There was no difference in the number of cases between genders, however the two age groups most affected by the infection are between 30 and 39 years old (64,138 cases) and 40 to 49 years old (51,535 cases). Among the most prevalent comorbidities are Heart Diseases and Diabetes. Conclusion: The highest incidence rates of COVID-19 are concentrated in mesoregions with a large flow of people, with a tendency for sociodemographic aspects to be related to the epidemiology of COVID-19 in mesoregions of the state of Pará.Introducción: La pandemia de COVID-19, causada por el SARS-CoV-2, causa de todo, desde infecciones asintomáticas hasta síndrome respiratorio agudo severo, que a veces puede ser fatal y requiere afrontamiento. Objetivo: Analizar la epidemiología del COVID-19 en las seis mesorregiones del estado de Pará, correlacionándolo con el Índice de Desarrollo Humano Promedio (IDH) y el porcentaje de tratamiento de aguas residuales en el estado. Métodos: Se trata de un estudio descriptivo transversal con enfoque cuantitativo, realizado mediante la recolección de datos secundarios de los casos de COVID-19, recolectados del 7 de marzo al 30 de mayo de 2020, y datos sociodemográficos de las seis mesorregiones. De el estado de Pará. Resultados: se notificaron 267.700 casos confirmados de COVID-19 en todo el estado de Pará, siendo las mesorregiones del Sureste de Pará y la Región Metropolitana de Belém las que presentaron los valores más altos, con 81.556 y 71.117, respectivamente. No hubo diferencia en el número de casos entre sexos, sin embargo, los dos grupos de edad más afectados por la infección son entre 30 y 39 años (64,138 casos) y 40 a 49 años (51,535 casos). Entre las comorbilidades más prevalentes se encuentran las enfermedades cardíacas y la diabetes. Conclusión: Las mayores tasas de incidencia de COVID-19 se concentran en mesorregiones con gran flujo de personas, con tendencia a que los aspectos sociodemográficos estén relacionados con la epidemiología de COVID-19 en mesorregiones del estado de Pará.Introdução: A pandemia do COVID-19, ocasionada pelo SARS-CoV-2, provoca desde infecções assintomáticas até a síndrome respiratória aguda grave, que por vezes, pode ser fatal, necessitando de enfrentamento. Objetivo: Analisar a epidemiologia da COVID-19 nas seis mesorregiões do estado do Pará, correlacionando-a com Índice de Desenvolvimento Humano Médio (IDHm) e o Percentual de Tratamento de esgoto do Estado. Métodos: Trata-se de um estudo descritivo transversal com abordagem quantitativa, realizado através do levantamento de dados secundários dos casos de COVID-19, coletados no período de 07 de março a 30 de maio de 2020, e dados sócio-demográficos das seis mesorregiões do estado do Pará. Resultados: Foram notificados 267.700 casos confirmados da COVID-19 em todo o estado do Pará. As mesorregiões do Sudeste paraense e da Região Metropolitana de Belém, apresentaram os maiores valores, com 81.556 e 71.117, respectivamente. Não houve diferença de número de casos entre os gêneros, porém as duas faixas etárias mais acometidas pela infecção estão entre 30 a 39 anos (64.138 casos) e 40 a 49 anos (51.535 casos). Dentre as comorbidades mais prevalentes estão as Cardiopatias e o Diabetes. Conclusão: As maiores taxas de incidência da COVID-19 estão concentradas nas mesorregiões com grande fluxo de pessoas, havendo uma tendência dos aspectos sociodemográficos se relacionarem com a epidemiologia da COVID-19 nas mesorregiões do estado do Pará.Research, Society and Development2021-02-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1208610.33448/rsd-v10i2.12086Research, Society and Development; Vol. 10 No. 2; e3210212086Research, Society and Development; Vol. 10 Núm. 2; e3210212086Research, Society and Development; v. 10 n. 2; e32102120862525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/12086/11445Copyright (c) 2021 Aline Andrade de Sousa; Débora Natassia Carneiro de Pinho; Danyela Haykel Claro dos Santos Silva; Márcia Cristina Freitas da Silva; Denis Vieira Gomes Ferreira; Felipe da Costa Soares; Alexandre Apolo Silva Coelho; Fernando Cesar de Souza Braga; Antônio Marcos Almeida Bezerra; Sérgio Beltrão de Andrade Lima; Leonardo de Oliveira Rodrigues da Silva; Ademir Ferreira da Silva Júniorhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSousa, Aline Andrade dePinho, Débora Natassia Carneiro deSilva, Danyela Haykel Claro dos SantosSilva, Márcia Cristina Freitas da Ferreira, Denis Vieira GomesSoares, Felipe da Costa Coelho, Alexandre Apolo SilvaBraga, Fernando Cesar de Souza Bezerra, Antônio Marcos AlmeidaLima, Sérgio Beltrão de Andrade Silva, Leonardo de Oliveira Rodrigues da Silva Júnior, Ademir Ferreira da2021-03-02T09:32:39Zoai:ojs.pkp.sfu.ca:article/12086Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:33:45.565667Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
Análisis de casos COVID-19 y datos sociodemográficos en las mesorregiones del estado del Pará
Análise dos casos de COVID-19 e de dados sociodemográficos nas mesorregiões do estado do Pará
title Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
spellingShingle Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
Sousa, Aline Andrade de
COVID-19
Epidemiologia
Mesorregião
Pará.
COVID-19
Epidemiology
Mesoregion
Pará.
Epidemiología
Mesorregión
COVID-19
Pará.
title_short Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
title_full Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
title_fullStr Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
title_full_unstemmed Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
title_sort Analysis of COVID-19 cases and sociodemographic data in the mesoregions of the state of Pará
author Sousa, Aline Andrade de
author_facet Sousa, Aline Andrade de
Pinho, Débora Natassia Carneiro de
Silva, Danyela Haykel Claro dos Santos
Silva, Márcia Cristina Freitas da
Ferreira, Denis Vieira Gomes
Soares, Felipe da Costa
Coelho, Alexandre Apolo Silva
Braga, Fernando Cesar de Souza
Bezerra, Antônio Marcos Almeida
Lima, Sérgio Beltrão de Andrade
Silva, Leonardo de Oliveira Rodrigues da
Silva Júnior, Ademir Ferreira da
author_role author
author2 Pinho, Débora Natassia Carneiro de
Silva, Danyela Haykel Claro dos Santos
Silva, Márcia Cristina Freitas da
Ferreira, Denis Vieira Gomes
Soares, Felipe da Costa
Coelho, Alexandre Apolo Silva
Braga, Fernando Cesar de Souza
Bezerra, Antônio Marcos Almeida
Lima, Sérgio Beltrão de Andrade
Silva, Leonardo de Oliveira Rodrigues da
Silva Júnior, Ademir Ferreira da
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Sousa, Aline Andrade de
Pinho, Débora Natassia Carneiro de
Silva, Danyela Haykel Claro dos Santos
Silva, Márcia Cristina Freitas da
Ferreira, Denis Vieira Gomes
Soares, Felipe da Costa
Coelho, Alexandre Apolo Silva
Braga, Fernando Cesar de Souza
Bezerra, Antônio Marcos Almeida
Lima, Sérgio Beltrão de Andrade
Silva, Leonardo de Oliveira Rodrigues da
Silva Júnior, Ademir Ferreira da
dc.subject.por.fl_str_mv COVID-19
Epidemiologia
Mesorregião
Pará.
COVID-19
Epidemiology
Mesoregion
Pará.
Epidemiología
Mesorregión
COVID-19
Pará.
topic COVID-19
Epidemiologia
Mesorregião
Pará.
COVID-19
Epidemiology
Mesoregion
Pará.
Epidemiología
Mesorregión
COVID-19
Pará.
description Introduction: The COVID-19 pandemic, caused by SARS-CoV-2, causes everything from asymptomatic infections to severe acute respiratory syndrome, which can sometimes be fatal, requiring coping. Objective: To analyze the epidemiology of COVID-19 in the six mesoregions of the state of Pará, correlating it with the Average Human Development Index (HDIm) and the percentage of sewage treatment in the state. Methods: This is a cross-sectional descriptive study with a quantitative approach, carried out by collecting secondary data from the cases of COVID-19, collected from March 7 to May 30, 2020, and socio-demographic data from the six mesoregions. of the state of Pará. Results: 267,700 confirmed cases of COVID-19 were reported throughout the state of Pará. The mesoregions of the Southeast of Pará and the Metropolitan Region of Belém, presented the highest values, with 81,556 and 71,117, respectively. There was no difference in the number of cases between genders, however the two age groups most affected by the infection are between 30 and 39 years old (64,138 cases) and 40 to 49 years old (51,535 cases). Among the most prevalent comorbidities are Heart Diseases and Diabetes. Conclusion: The highest incidence rates of COVID-19 are concentrated in mesoregions with a large flow of people, with a tendency for sociodemographic aspects to be related to the epidemiology of COVID-19 in mesoregions of the state of Pará.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-03
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/12086
10.33448/rsd-v10i2.12086
url https://rsdjournal.org/index.php/rsd/article/view/12086
identifier_str_mv 10.33448/rsd-v10i2.12086
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/12086/11445
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. 2; e3210212086
Research, Society and Development; Vol. 10 Núm. 2; e3210212086
Research, Society and Development; v. 10 n. 2; e3210212086
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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