Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Digital do Instituto Evandro Chagas (Patuá) |
Texto Completo: | https://patua.iec.gov.br/handle/iec/4471 |
Resumo: | The Brazilian Northern region registered a high incidence of COVID-19 cases, particularly in the state of Pará. The present study investigated the risk factors associated with the severity of COVID-19 in a Brazilian Amazon region of 100,819 cases. An epidemiological, cross-sectional, analytical and demographic study, analyzing data on confirmed cases for COVID-19 available at the Brazilian Ministry of Health's surveillance platform, was conducted. Variables such as, municipalities of residence, age, gender, signs and symptoms, comorbidities were included and associated with COVID-19 cases and outcomes. The spatial distribution was performed using the ArcGIS program. A total of 100,819 cases were evaluated. Overall, patients had the mean age of 42.3 years, were female (51.2%) and with lethality reaching 4.79% of cases. Main symptoms included fever (66.5%), cough (61.9%) and sore throat (39.8%). Regarding comorbidities, most of the patients presented cardiovascular disease (5.1%) and diabetes (4.2%). Neurological disease increased risk of death by nearly 15 times, followed by obesity (5.16 times) and immunodeficiency (5.09 time). The municipalities with the highest incidence rate were Parauapebas, Canaã dos Carajás and Jacareacanga. Similarity between the Lower Amazon, Marajó and Southwest mesoregions of Pará state were observed concerning the highest morbidity rates. The obtained data demonstrated that the majority of cases occurred among young adults, females, with the classic influenza symptoms and chronic diseases. Finally, data suggest that the highest incidences were no longer in the metropolitan region of the state. The higher lethality rate than in Brazil may be associated with the greater impacts of the disease in this Amazonian population, or factors associated with fragile epidemiological surveillance in the notification of cases of cure. |
id |
IEC-2_aaee3c4c0e8f5d9ed76aa3313dd3d544 |
---|---|
oai_identifier_str |
oai:patua.iec.gov.br:iec/4471 |
network_acronym_str |
IEC-2 |
network_name_str |
Repositório Digital do Instituto Evandro Chagas (Patuá) |
repository_id_str |
|
spelling |
Sardinha, Daniele MeloLoiola, Rosane do Socorro Pompeu deFerreira, Ana Lúcia da SilvaSá, Carmem Aliandra Freire deRodrigues, Yan CorrêaLima, Karla Valéria BatistaGuimarães, Ricardo José de Paula Souza eLima, Luana Nepomuceno Gondim Costa2021-11-09T12:14:59Z2021-11-09T12:14:59Z2021SARDINHA, Daniele Melo et al. Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon. Scientific Reports, v. 11, n. 20569, p. 1-12, 2021.2045-2322https://patua.iec.gov.br/handle/iec/447110.1038/s41598-021-00009-yThe Brazilian Northern region registered a high incidence of COVID-19 cases, particularly in the state of Pará. The present study investigated the risk factors associated with the severity of COVID-19 in a Brazilian Amazon region of 100,819 cases. An epidemiological, cross-sectional, analytical and demographic study, analyzing data on confirmed cases for COVID-19 available at the Brazilian Ministry of Health's surveillance platform, was conducted. Variables such as, municipalities of residence, age, gender, signs and symptoms, comorbidities were included and associated with COVID-19 cases and outcomes. The spatial distribution was performed using the ArcGIS program. A total of 100,819 cases were evaluated. Overall, patients had the mean age of 42.3 years, were female (51.2%) and with lethality reaching 4.79% of cases. Main symptoms included fever (66.5%), cough (61.9%) and sore throat (39.8%). Regarding comorbidities, most of the patients presented cardiovascular disease (5.1%) and diabetes (4.2%). Neurological disease increased risk of death by nearly 15 times, followed by obesity (5.16 times) and immunodeficiency (5.09 time). The municipalities with the highest incidence rate were Parauapebas, Canaã dos Carajás and Jacareacanga. Similarity between the Lower Amazon, Marajó and Southwest mesoregions of Pará state were observed concerning the highest morbidity rates. The obtained data demonstrated that the majority of cases occurred among young adults, females, with the classic influenza symptoms and chronic diseases. Finally, data suggest that the highest incidences were no longer in the metropolitan region of the state. The higher lethality rate than in Brazil may be associated with the greater impacts of the disease in this Amazonian population, or factors associated with fragile epidemiological surveillance in the notification of cases of cure.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde. Ananindeua, PA, Brasil.Universidade Federal do Pará. Programa de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários. Belém, PA, Brazil.Universidade do Estado do Pará. Programa de Pós-Graduação em Biologia Parasitária na Amazônia. Belém, PA, Brasil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde. Ananindeua, PA, Brasil.Universidade do Estado do Pará. Programa de Pós-Graduação em Biologia Parasitária na Amazônia. Belém, PA, Brasil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Universidade do Estado do Pará. Programa de Pós-Graduação em Biologia Parasitária na Amazônia. Belém, PA, Brasil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde. Ananindeua, PA, Brasil / Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocessamento. Ananindeua, PA, Brasil.Ministério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde. Ananindeua, PA, Brasil / Universidade do Estado do Pará. Programa de Pós-Graduação em Biologia Parasitária na Amazônia. Belém, PA, Brasil.engNature ResearchRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazoninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleCOVID-19 / patologiaSARS-CoV-2 / patogenicidadeDoenças Respiratórias / patologiaIncidênciaEstudos de CoortesMonitoramento EpidemiológicoÍndice de Gravidade de DoençaPará (PA)info:eu-repo/semantics/openAccessreponame:Repositório Digital do Instituto Evandro Chagas (Patuá)instname:Instituto Evandro Chagas (IEC)instacron:IECORIGINALRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.pdfRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.pdfapplication/pdf2591810https://patua.iec.gov.br/bitstreams/5504a4ec-a3cd-4696-ad8e-7ed4e86b422f/download88b2781025f93b51a62035f1f7ea0423MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82182https://patua.iec.gov.br/bitstreams/c5d640e9-4e5e-4830-96e9-2f90cba68302/download11832eea31b16df8613079d742d61793MD52TEXTRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.pdf.txtRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.pdf.txtExtracted texttext/plain50253https://patua.iec.gov.br/bitstreams/abfa3915-7e86-489b-83c1-458293a90b51/download671a51708911aa8af9e03bb0aafc1da5MD55THUMBNAILRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.pdf.jpgRisk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.pdf.jpgGenerated Thumbnailimage/jpeg6396https://patua.iec.gov.br/bitstreams/3b2b3def-009f-4e9d-8f5a-aa1285b10d76/downloada416f3a93c40cc5b3fb7e51c6260ec9cMD56iec/44712022-10-20 21:03:54.252oai:patua.iec.gov.br:iec/4471https://patua.iec.gov.brRepositório InstitucionalPUBhttps://patua.iec.gov.br/oai/requestclariceneta@iec.gov.br || Biblioteca@iec.gov.bropendoar:2022-10-20T21:03:54Repositório Digital do Instituto Evandro Chagas (Patuá) - Instituto Evandro Chagas (IEC)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 |
dc.title.pt_BR.fl_str_mv |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
title |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
spellingShingle |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon Sardinha, Daniele Melo COVID-19 / patologia SARS-CoV-2 / patogenicidade Doenças Respiratórias / patologia Incidência Estudos de Coortes Monitoramento Epidemiológico Índice de Gravidade de Doença Pará (PA) |
title_short |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
title_full |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
title_fullStr |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
title_full_unstemmed |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
title_sort |
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon |
author |
Sardinha, Daniele Melo |
author_facet |
Sardinha, Daniele Melo Loiola, Rosane do Socorro Pompeu de Ferreira, Ana Lúcia da Silva Sá, Carmem Aliandra Freire de Rodrigues, Yan Corrêa Lima, Karla Valéria Batista Guimarães, Ricardo José de Paula Souza e Lima, Luana Nepomuceno Gondim Costa |
author_role |
author |
author2 |
Loiola, Rosane do Socorro Pompeu de Ferreira, Ana Lúcia da Silva Sá, Carmem Aliandra Freire de Rodrigues, Yan Corrêa Lima, Karla Valéria Batista Guimarães, Ricardo José de Paula Souza e Lima, Luana Nepomuceno Gondim Costa |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Sardinha, Daniele Melo Loiola, Rosane do Socorro Pompeu de Ferreira, Ana Lúcia da Silva Sá, Carmem Aliandra Freire de Rodrigues, Yan Corrêa Lima, Karla Valéria Batista Guimarães, Ricardo José de Paula Souza e Lima, Luana Nepomuceno Gondim Costa |
dc.subject.decsPrimary.pt_BR.fl_str_mv |
COVID-19 / patologia SARS-CoV-2 / patogenicidade Doenças Respiratórias / patologia Incidência Estudos de Coortes Monitoramento Epidemiológico Índice de Gravidade de Doença Pará (PA) |
topic |
COVID-19 / patologia SARS-CoV-2 / patogenicidade Doenças Respiratórias / patologia Incidência Estudos de Coortes Monitoramento Epidemiológico Índice de Gravidade de Doença Pará (PA) |
description |
The Brazilian Northern region registered a high incidence of COVID-19 cases, particularly in the state of Pará. The present study investigated the risk factors associated with the severity of COVID-19 in a Brazilian Amazon region of 100,819 cases. An epidemiological, cross-sectional, analytical and demographic study, analyzing data on confirmed cases for COVID-19 available at the Brazilian Ministry of Health's surveillance platform, was conducted. Variables such as, municipalities of residence, age, gender, signs and symptoms, comorbidities were included and associated with COVID-19 cases and outcomes. The spatial distribution was performed using the ArcGIS program. A total of 100,819 cases were evaluated. Overall, patients had the mean age of 42.3 years, were female (51.2%) and with lethality reaching 4.79% of cases. Main symptoms included fever (66.5%), cough (61.9%) and sore throat (39.8%). Regarding comorbidities, most of the patients presented cardiovascular disease (5.1%) and diabetes (4.2%). Neurological disease increased risk of death by nearly 15 times, followed by obesity (5.16 times) and immunodeficiency (5.09 time). The municipalities with the highest incidence rate were Parauapebas, Canaã dos Carajás and Jacareacanga. Similarity between the Lower Amazon, Marajó and Southwest mesoregions of Pará state were observed concerning the highest morbidity rates. The obtained data demonstrated that the majority of cases occurred among young adults, females, with the classic influenza symptoms and chronic diseases. Finally, data suggest that the highest incidences were no longer in the metropolitan region of the state. The higher lethality rate than in Brazil may be associated with the greater impacts of the disease in this Amazonian population, or factors associated with fragile epidemiological surveillance in the notification of cases of cure. |
publishDate |
2021 |
dc.date.accessioned.fl_str_mv |
2021-11-09T12:14:59Z |
dc.date.available.fl_str_mv |
2021-11-09T12:14:59Z |
dc.date.issued.fl_str_mv |
2021 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SARDINHA, Daniele Melo et al. Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon. Scientific Reports, v. 11, n. 20569, p. 1-12, 2021. |
dc.identifier.uri.fl_str_mv |
https://patua.iec.gov.br/handle/iec/4471 |
dc.identifier.issn.-.fl_str_mv |
2045-2322 |
dc.identifier.doi.-.fl_str_mv |
10.1038/s41598-021-00009-y |
identifier_str_mv |
SARDINHA, Daniele Melo et al. Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon. Scientific Reports, v. 11, n. 20569, p. 1-12, 2021. 2045-2322 10.1038/s41598-021-00009-y |
url |
https://patua.iec.gov.br/handle/iec/4471 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Nature Research |
publisher.none.fl_str_mv |
Nature Research |
dc.source.none.fl_str_mv |
reponame:Repositório Digital do Instituto Evandro Chagas (Patuá) instname:Instituto Evandro Chagas (IEC) instacron:IEC |
instname_str |
Instituto Evandro Chagas (IEC) |
instacron_str |
IEC |
institution |
IEC |
reponame_str |
Repositório Digital do Instituto Evandro Chagas (Patuá) |
collection |
Repositório Digital do Instituto Evandro Chagas (Patuá) |
bitstream.url.fl_str_mv |
https://patua.iec.gov.br/bitstreams/5504a4ec-a3cd-4696-ad8e-7ed4e86b422f/download https://patua.iec.gov.br/bitstreams/c5d640e9-4e5e-4830-96e9-2f90cba68302/download https://patua.iec.gov.br/bitstreams/abfa3915-7e86-489b-83c1-458293a90b51/download https://patua.iec.gov.br/bitstreams/3b2b3def-009f-4e9d-8f5a-aa1285b10d76/download |
bitstream.checksum.fl_str_mv |
88b2781025f93b51a62035f1f7ea0423 11832eea31b16df8613079d742d61793 671a51708911aa8af9e03bb0aafc1da5 a416f3a93c40cc5b3fb7e51c6260ec9c |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Digital do Instituto Evandro Chagas (Patuá) - Instituto Evandro Chagas (IEC) |
repository.mail.fl_str_mv |
clariceneta@iec.gov.br || Biblioteca@iec.gov.br |
_version_ |
1809190032559308800 |