Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon

Abstract 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, analyt...

Full description

Bibliographic Details
Main Authors: Daniele Melo Sardinha, Rosane do Socorro Pompeu de Loiola, Ana Lúcia da Silva Ferreira, Carmem Aliandra Freire de Sá, Yan Corrêa Rodrigues, Karla Valéria Batista Lima, Ricardo José de Paula Souza e Guimarães, Luana Nepomuceno Gondim Costa Lima
Format: Article
Language:English
Published: Nature Portfolio 2021-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-00009-y
_version_ 1828145021933584384
author Daniele Melo Sardinha
Rosane do Socorro Pompeu de Loiola
Ana Lúcia da Silva Ferreira
Carmem Aliandra Freire de Sá
Yan Corrêa Rodrigues
Karla Valéria Batista Lima
Ricardo José de Paula Souza e Guimarães
Luana Nepomuceno Gondim Costa Lima
author_facet Daniele Melo Sardinha
Rosane do Socorro Pompeu de Loiola
Ana Lúcia da Silva Ferreira
Carmem Aliandra Freire de Sá
Yan Corrêa Rodrigues
Karla Valéria Batista Lima
Ricardo José de Paula Souza e Guimarães
Luana Nepomuceno Gondim Costa Lima
author_sort Daniele Melo Sardinha
collection DOAJ
description Abstract 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.
first_indexed 2024-04-11T20:25:51Z
format Article
id doaj.art-43cc89e2d069490dbbea9b9f40d8eb6e
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-04-11T20:25:51Z
publishDate 2021-10-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-43cc89e2d069490dbbea9b9f40d8eb6e2022-12-22T04:04:40ZengNature PortfolioScientific Reports2045-23222021-10-0111111210.1038/s41598-021-00009-yRisk factors associated with the severity of COVID-19 in a region of the Brazilian AmazonDaniele Melo Sardinha0Rosane do Socorro Pompeu de Loiola1Ana Lúcia da Silva Ferreira2Carmem Aliandra Freire de Sá3Yan Corrêa Rodrigues4Karla Valéria Batista Lima5Ricardo José de Paula Souza e Guimarães6Luana Nepomuceno Gondim Costa Lima7Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC)Programa de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários, Universidade Federal do Pará (PPGBAIP/UFPA)Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC)Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC)Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC)Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC)Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC)Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC)Abstract 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.https://doi.org/10.1038/s41598-021-00009-y
spellingShingle Daniele Melo Sardinha
Rosane do Socorro Pompeu de Loiola
Ana Lúcia da Silva Ferreira
Carmem Aliandra Freire de Sá
Yan Corrêa Rodrigues
Karla Valéria Batista Lima
Ricardo José de Paula Souza e Guimarães
Luana Nepomuceno Gondim Costa Lima
Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon
Scientific Reports
title 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_short 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
url https://doi.org/10.1038/s41598-021-00009-y
work_keys_str_mv AT danielemelosardinha riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT rosanedosocorropompeudeloiola riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT analuciadasilvaferreira riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT carmemaliandrafreiredesa riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT yancorrearodrigues riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT karlavaleriabatistalima riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT ricardojosedepaulasouzaeguimaraes riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon
AT luananepomucenogondimcostalima riskfactorsassociatedwiththeseverityofcovid19inaregionofthebrazilianamazon