Evidence map›Paper›PMID 37104318›Full record

ArticleTropical medicine and infectious disease2023

Potential Epidemic Vulnerability and Socioepidemiological Profile of SARS-CoV2 in the Brazilian Northeast Region.

Lohanna Valeska de Sousa Tavares, Antônio Júnior Alves Ribeiro, Denise Maria Christofolini

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2023. 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

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

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

3 authors.

Lohanna Valeska de Sousa TavaresSetor de Pós-Graduação do Centro, Universitário FMABC, Santo André 09060-590, SP, Brazil.ORCID 0000-0002-6426-0755
Antônio Júnior Alves RibeiroInstituto Federal de Educação, Ciência e Tecnologia do Ceará, Juazeiro do Norte 63047-040, CE, Brazil.ORCID 0000-0002-6607-6409
Denise Maria ChristofoliniSetor de Pós-Graduação do Centro, Universitário FMABC, Santo André 09060-590, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 is a significant public health problem that can have a negative impact, especially in vulnerable regions.

objectiveThis study aimed to provide evidence that could positively influence coping with COVID-19 based on the relationship between the potential epidemic vulnerability index (PEVI) and socioepidemiological variables. This could be used as a decision-making tool for the planning of preventive initiatives in regions with relevant vulnerability indices for the spread of SARS-CoV-2. METHODOLOGY: We performed a cross-sectional study, with the analysis of the population characteristics of COVID-19 cases associated with neighborhoods' PEVIs in the conurbation region of Crajubar, northeastern Brazil, through the mapping of socioeconomic-demographic factors and spatial autocorrelation.

resultsThe PEVI distribution indicated low vulnerability in areas with high real estate and commercial value; as communities moved away from these areas, the vulnerability levels increased. As for the number of cases, three of the five neighborhoods with a high-high autocorrelation, and some other neighborhoods showed a bivariate spatial correlation with a low-low PEVI but also high-low with indicators that make up the PEVI, representing areas that could be protected by public health measures to prevent increases in COVID-19 cases.

conclusionsThe impact of the PEVI revealed areas that could be targeted by public policies to decrease the occurrence of COVID-19.

Indexed as

demographyepidemiologypandemicsSARS-CoV2social vulnerability index

Identifiers

PMID37104318
PMCPMC10142768

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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.