Evidence map›Paper›PMID 41983819›Full record

ArticleRevista brasileira de epidemiologia = Brazilian journal of epidemiology2026

Use of synthetic population to assess alcohol abuse in small areas.

Crizian Saar Gomes, Regina Tomie Ivata Bernal, Larissa Fortunato Araújo, Celso Renato França Júnior, Samuel Norberto Alves, Juliana Bottoni de Souza, Flora Vitória Serena Oliveira Baldi, Marcos André Gonçalves, Jussara Marques Almeida, Deborah Carvalho Malta

Abstract read
In one paragraph

Article in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2026. 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
–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

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.

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

10 authors.

Crizian Saar GomesUniversidade Federal de Minas Gerais, Post-Graduation Program in Public Health, School of Medicine - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-6586-4561
Regina Tomie Ivata BernalUniversidade Federal de Minas Gerais, Post-Graduation Program in Nursing, School of Nursing - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-7917-3857
Larissa Fortunato AraújoUniversidade Federal do Ceará, Health Sciences Center, Department of Community Health - Fortaleza (CE), Brazil.ORCID http://orcid.org/0000-0001-6695-0365
Celso Renato França JúniorUniversidade Federal de Minas Gerais, Post-Graduation Program in Computer Science, Institute of Exact Sciences - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-0251-7172
Samuel Norberto AlvesUniversidade Federal de Minas Gerais, School of Medicine - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0009-0003-3640-9406
Juliana Bottoni de SouzaUniversidade Federal de Minas Gerais, School of Nursing - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-9308-7445
Flora Vitória Serena Oliveira BaldiUniversidade Federal de Minas Gerais, School of Nursing - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0009-0006-7619-1415
Marcos André GonçalvesUniversidade Federal de Minas Gerais, Institute Exact Sciences, Department of Computer Science - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-2075-3363
Jussara Marques AlmeidaUniversidade Federal de Minas Gerais, Institute Exact Sciences, Department of Computer Science - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0001-9142-2919
Deborah Carvalho MaltaUniversidade Federal de Minas Gerais, School of Nursing, Department of Maternal-Child Nursing and Public Health - Belo Horizonte (MG), Brazil.ORCID http://orcid.org/0000-0002-8214-5734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study evaluated the use of synthetic populations, generated by conditional generative adversarial networks (cGAN), to estimate abusive alcohol consumption in small areas of Belo Horizonte (MG).

methodsData from the Vigitel survey from 2006 to 2018 were used. Sociodemographic and lifestyle variables were considered, and the synthetic records were assigned to nine vulnerability clusters.

resultsThe inclusion of synthetic data reduced standard errors and narrowed confidence intervals, especially in more vulnerable areas. Higher prevalence was observed in less vulnerable areas.

conclusionsThe approach proved promising for overcoming representativeness limitations and enhancing risk factor monitoring, but it still depends on the quality of the original data, may introduce biases, and requires external validation and cautious use.

Indexed as

AlcoholismBrazilFemaleGenerative Adversarial NetworksHumansPrevalenceRisk FactorsSociodemographic FactorsSocioeconomic Factors

Identifiers

PMID41983819
PMCPMC13078829

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.