Evidence mapPaperPMID 36901646Full record

ArticleInternational journal of environmental research and public health2023

COVID-19 in the Eastern Brazilian Amazon: Incidence, Clinical Management, and Mortality by Social Determinants of Health, Symptomatology, and Comorbidities in the Xingu Health Region.

Eric Renato Lima Figueiredo, Márcio Vinicius de Gouveia Affonso, Rodrigo Januario Jacomel, Fabiana de Campos Gomes, Nelson Veiga Gonçalves, Claudia do Socorro Carvalho Miranda, Márcia Cristina Freitas da Silva, Ademir Ferreira da Silva-Júnior, João Simão de Melo-Neto

Open access · goldFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 3 institutions in 1 country.

Eric Renato Lima FigueiredoInstitute of Health Sciences, Federal University of Pará (UFPA), Belem 66075-110, Brazil.ORCID 0000-0002-9383-8392
Márcio Vinicius de Gouveia AffonsoInstitute of Health Sciences, Federal University of Pará (UFPA), Belem 66075-110, Brazil.
Rodrigo Januario JacomelInstitute of Health Sciences, Federal University of Pará (UFPA), Belem 66075-110, Brazil.
Fabiana de Campos GomesFaculty of Medicine of São José do Rio Preto (FAMERP), São José do Rio Preto 15090-000, Brazil.
Nelson Veiga GonçalvesLaboratory of Epidemiology and Geoprocessing of Amazon, University of the state of Pará (UEPA), Belem 66050-540, Brazil.
Claudia do Socorro Carvalho MirandaLaboratory of Epidemiology and Geoprocessing of Amazon, University of the state of Pará (UEPA), Belem 66050-540, Brazil.
Márcia Cristina Freitas da SilvaFaculty of Medicine, Federal University of Pará, Altamira 68370-000, Brazil.
Ademir Ferreira da Silva-JúniorFaculty of Medicine, Federal University of Pará, Altamira 68370-000, Brazil.
João Simão de Melo-NetoInstitute of Health Sciences, Federal University of Pará (UFPA), Belem 66075-110, Brazil.ORCID 0000-0002-4681-8532
Universidade Federal do Pará · BRUniversidade do Estado do Pará · BRFaculdade de Medicina de São José do Rio Preto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the relationship between social determinants of health (SDH), incidence, and mortality to verify which sociodemographic factors, symptoms, and comorbidities predict clinical management; second, this study aims to conduct a survival analysis of individuals with COVID-19 in the Xingu Health Region. Consequently, this study adopted an ecological framework, employing secondary data of COVID-19-positive individuals from the Xingu Health Region, Pará State, Brazil. The data were obtained through the database of the State of Pará Public Health Secretary (SESPA) for the period from March 2020 to March 2021. The incidence and mortality were higher in Vitória do Xingu and Altamira. Municipalities with a higher percentage of citizens with health insurance and higher public health expenditure showed a higher incidence and mortality. A higher gross domestic product was associated with a higher incidence. Females were found to be associated with better clinical management. To live in Altamira was a risk factor for intensive care unit admission. The symptoms and comorbidities that predicted worse clinical management were dyspnea, fever, emesis, chills, diabetes, cardiac and renal diseases, obesity, and neurological diseases. There were higher incidence, mortality, and lower survival rates among the elderly. Thus, it can be concluded that SDH indicators, symptomatology, and comorbidities have implications for the incidence, mortality, and clinical management of COVID-19 in the Xingu Health Region of eastern Amazonia, Brazil.

Indexed as

COVID-19AgedBrazilComorbidityFemaleHumansIncidenceSocial Determinants of HealthCOVID-19health policyhealth servicesincidencepandemicsocial determinants of health

Identifiers

PMID36901646
PMCPMC10002208
OpenAlexW4323314131

What Socratic holds

Textfull text, public
LicenceCC BY
reference markers read2
measurements read16
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 Socratic graph.