Evidence map›Paper›PMID 41538554›Full record

ArticleRevista de saude publica2026

TVISARS-CoV-2: a multicriteria index and urban dynamics in Minas Gerais, Brazil.

Matheus Luiz Jorge Cortez, Úrsula Ruchkys de Azevedo, Sónia Maria Carvalho Ribeiro, Anacleto Marito Diogo, Danilo Cirino Muniz do Nascimento

Abstract read
In one paragraph

Article in Revista de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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

5 authors.

Matheus Luiz Jorge CortezUniversidade Federal de Minas Gerais. Instituto de Geociências. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0003-3922-5904
Úrsula Ruchkys de AzevedoUniversidade Federal de Minas Gerais. Instituto de Geociências. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0002-4708-2897
Sónia Maria Carvalho RibeiroUniversidade Federal de Minas Gerais. Instituto de Geociências. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0002-3045-8632
Anacleto Marito DiogoUniversidade José Eduardo dos Santos. Huambo, Angola.ORCID http://orcid.org/0000-0002-2911-3055
Danilo Cirino Muniz do NascimentoUniversidade Federal de Minas Gerais. Instituto de Geociências. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0003-4598-3779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a municipal-level vulnerability index to COVID-19 transmission that integrates socioeconomic factors, urban infrastructure, mobility, and composite indicators of social vulnerability and leisure for Minas Gerais. This study found factors associated with the spatial distribution of COVID-19 and classified the 853 municipalities in the state by vulnerability levels.

methodsData on COVID-19 cases from February 2022 were combined with nine variables in three domains: (i) socioeconomic factors (trade, service, construction, and manufacturing jobs); (ii) urban infrastructure and mobility (urban area, road connectivity, and vehicle density); and (iii) composite indicators (index of social vulnerability and access to culture, sports, and leisure). A multicriteria analysis model with Pearson's correlations was elaborated and validated by cross-validation.

resultsThe vulnerability index ranged from 1 to 8. The municipality of Belo Horizonte showed the highest value (8), followed by Uberlândia (6) and other medium to large municipalities with high urban dynamism. Urban area (22.92%), road connectivity (17.54%), and vehicle density (12.86%) constituted the most influential variables in the model. Spatial distribution indicated greater vulnerability in metropolitan regions and regional hubs.

conclusionsThe proposed index highlighted the role of structural and occupational characteristics in territorial vulnerability to COVID-19. Limitations such as the time lag of some variables, source heterogeneity, and case underreporting-especially in municipalities with lower testing capacity-may have influenced the results. Incorporating emerging technologies and sustainable practices can mitigate the risks of future pandemics and improve quality of life. The index offered a useful tool for health planning (which may be adapted to other communicable diseases).

Indexed as

COVID-19Social VulnerabilityBrazilCitiesHumansPandemicsSARS-CoV-2Socioeconomic FactorsUrban Population

Identifiers

PMID41538554
PMCPMC12713526

What Socratic holds

Textmetadata
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 Socratic graph.