Evidence map›Paper›PMID 39736765›Full record

ArticleArchives of public health = Archives belges de sante publique2024

Measuring social vulnerability in communities and its association with leprosy burden through spatial intelligence in central West Brazil to guide strategic actions.

José Francisco Martoreli Júnior, Antônio Carlos Vieira Ramos, Josilene Dália Alves, Thaís Zamboni Berra, Yan Mathias Alves, Reginaldo Bazon Vaz Tavares, Letícia Perticarrara Ferezin, Titilade Kehinde Ayandeyi Teibo, Ricardo Alexandre Arcêncio

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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5 · Who and what money

Authors and funding

9 authors.

José Francisco Martoreli JúniorDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Antônio Carlos Vieira RamosDepartment of Nursing, State University of Minas Gerais, Passos, Minas Gerais, Brazil.
Josilene Dália AlvesDepartment of Nursing, Federal University of Mato Grosso, Barra do Garças, Mato Grosso, Cuiaba, Brazil.
Thaís Zamboni BerraDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Yan Mathias AlvesDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Reginaldo Bazon Vaz TavaresDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Letícia Perticarrara FerezinDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Titilade Kehinde Ayandeyi TeiboDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil.
Ricardo Alexandre ArcêncioDepartment of Maternal-Infant and Public Health Nursing, University of São Paulo at Ribeirão Preto College of Nursing, Ribeirão Preto, São Paulo, Brazil. ricardo@eerp.usp.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 405902/2021-2Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/08510-7Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/01758-6Fundação de Amparo à Pesquisa do Estado de São Paulo 2023/16905-4
6 · The paper itself

Abstract

backgroundIt is known that leprosy is a socially determined disease, but most studies using spatial analysis have not considered the vulnerabilities present in these territories.

objectivesTo measure the association between social vulnerability and the burden of leprosy in the urban space of Cuiabá.

methodsEcological study, carried out in Cuiabá, Brazil. Diagnosed cases of leprosy were surveyed through the Notifiable Diseases Information System, from 2008 to 2018. The spatial scan statistics technique of leprosy cases per each Human Development Unit was applied. Social vulnerability was measured based on the Municipal Human Development Index (MHDI), education level and average per capita income. For the spatial correlation between vulnerability and leprosy, Global and local bivariate Moran's index was used.

results8389 cases of leprosy were georeferenced, the majority being male (58%), 30% of cases were not evaluated for degree of physical disability. One of the spatial scan clusters had a relative risk (RR) of 6.93 (95% CI 6.49-7.4), and another had 1360 cases with RR 1.71 (95% CI 1.62-1.82). The bivariate global autocorrelation of Moran's index for MHDI was 0.579, observing 1 High-High in the East region and 1 in South, for education the index was 0.429, 2 High-High in the East and 1 in the South, and 0.145 for average per capita income, 1 High-High in the East.

conclusionThere was a spatial association between leprosy cases and territories with low MHDI, having a percentage of the population without schooling and/or with low income. The study advances knowledge by presenting characteristics of territories most affected by leprosy, verifying the spatial correlation of the disease with the recurrent socioeconomic characteristics in these territories.

Indexed as

LeprosySocial VulnerabilitySpatial Analysis

Identifiers

PMID39736765
PMCPMC11684261

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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.