Evidence map›Paper›PMID 34663823›Full record

ArticleScientific reports2021

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

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

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Daniele Melo SardinhaPrograma de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil. Danielle-vianna20@hotmail.com.
Rosane do Socorro Pompeu de LoiolaPrograma de Pós-Graduação em Biologia de Agentes Infecciosos e Parasitários, Universidade Federal do Pará (PPGBAIP/UFPA), Belém, Pará, Brazil.
Ana Lúcia da Silva FerreiraPrograma de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC), Ananindeua, Pará, Brazil.
Carmem Aliandra Freire de SáPrograma de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil.
Yan Corrêa RodriguesPrograma de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC), Ananindeua, Pará, Brazil.
Karla Valéria Batista LimaPrograma de Pós-Graduação em Biologia Parasitária na Amazônia, Universidade do Estado do Pará, Instituto Evandro Chagas (PPGBPA/UEPA/IEC), Ananindeua, Pará, Brazil.
Ricardo José de Paula Souza E GuimarãesPrograma de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil.
Luana Nepomuceno Gondim Costa LimaPrograma de Pós-Graduação em Epidemiologia e Vigilância em Saúde, Instituto Evandro Chagas (PPGEVS/IEC), Ananindeua, Pará, Brazil.
Instituto Evandro Chagas · BRUniversidade do Estado do Pará · BRUniversidade Federal do Pará · BR

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 2CSRD VA 1
6 · The paper itself

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.

Indexed as

AdultArea Under CurveBrazilComorbidityCoughCOVID-19Cross-Sectional StudiesData CollectionFemaleFeverGeographyHumansIncidenceMaleMiddle AgedModels, Statistical

Identifiers

PMID34663823
PMCPMC8523658
OpenAlexW3205222316

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.