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Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon.
Sardinha, Daniele Melo; do Socorro Pompeu de Loiola, Rosane; Ferreira, Ana Lúcia da Silva; de Sá, Carmem Aliandra Freire; Rodrigues, Yan Corrêa; Lima, Karla Valéria Batista; E Guimarães, Ricardo José de Paula Souza; Lima, Luana Nepomuceno Gondim Costa.
  • Sardinha DM; Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil. Danielle-vianna20@hotmail.com.
  • do Socorro Pompeu de Loiola R; Programa de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários, Universidade Federal do Pará (PPGBAIP/UFPA), Belém, Pará, Brazil.
  • Ferreira ALDS; Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC), Ananindeua, Pará, Brazil.
  • de Sá CAF; Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil.
  • Rodrigues YC; Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC), Ananindeua, Pará, Brazil.
  • Lima KVB; Programa de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC), Ananindeua, Pará, Brazil.
  • E Guimarães RJPS; Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil.
  • Lima LNGC; Programa de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil.
Sci Rep ; 11(1): 20569, 2021 10 18.
Article in English | MEDLINE | ID: covidwho-1475480
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: South America / Brazil Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-00009-y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Adult / Female / Humans / Male / Middle aged / Young adult Country/Region as subject: South America / Brazil Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-00009-y