Evidence map›Paper›PMID 40243737›Full record

ArticleEpidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil2025

Analysis of completeness of COVID-19 notification forms among the Indigenous population in the State of Espírito Santo, 2020.

Priscila Carminati Siqueira, Carolina Maia Martins Sales, Thiago Nascimento do Prado, Ethel Leonor Noia Maciel

Abstract read
In one paragraph

Article in Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Priscila Carminati SiqueiraUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Saúde Coletiva. Vitória, ES, Brazil.ORCID http://orcid.org/0000-0002-3346-3509
Carolina Maia Martins SalesUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Saúde Coletiva. Vitória, ES, Brazil.ORCID http://orcid.org/0000-0002-0122-2727
Thiago Nascimento do PradoUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Saúde Coletiva. Vitória, ES, Brazil.ORCID http://orcid.org/0000-0002-2051-5517
Ethel Leonor Noia MacielUniversidade Federal do Espírito Santo, Centro de Ciências da Saúde, Programa de Pós-Graduação em Saúde Coletiva. Vitória, ES, Brazil.ORCID http://orcid.org/0000-0002-7648-0472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the completeness of COVID-19 notification form data on the Indigenous population living in the state of Espírito Santo, Brazil, in 2020.

methodsThis was a descriptive cross-sectional study carried out on COVID-19 notification data on the Indigenous population living in Espírito Santo in 2020. The scores used to assess completeness were: excellent (>95,0%), good (91,0%-95,0%), regular (81,0%-90,0%), poor (50,0%-80,0%) and very poor (<50,0%).

results3,479 notification forms were analyzed. The sociodemographic variables, neighborhood and gender, and the symptom and comorbidity variables showed "excellent" completeness. The scores were "good" for disease classification and "regular" for ethnic group. The schooling variable, considered mandatory, was classified as "very poor".

conclusionThe data analyzed had "excellent" completeness (65.3%). "Very poor" completeness was identified for 19.2% of the items evaluated, which shows that some items on the forms had a low standard of data recording.

Indexed as

COVID-19AdolescentAdultBrazilCross-Sectional StudiesDisease NotificationFemaleHumansMaleMiddle AgedYoung Adult

Identifiers

PMID40243737
PMCPMC11998908

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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.