Evidence map›Paper›PMID 37276221›Full record

ArticlePLoS neglected tropical diseases2023

Spatial analysis of the epidemiological risk of leprosy in the municipalities of Minas Gerais.

Isabela de Caux Bueno, Daniele Dos Santos Lages, Francisco Carlos Felix Lana

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Trend in the epidemiological risk of leprosy in the state of Goiás-Brazil between 2010 and 2021.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2024
    Article
  7. 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

3 authors at 1 institution in 1 country.

Isabela de Caux BuenoDepartment of Maternal and Child Nursing and Public Health, Escola de Enfermagem, Universidade Federal de Minas Gerais-UFMG, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0003-4501-5989
Daniele Dos Santos LagesDepartment of Maternal and Child Nursing and Public Health, Escola de Enfermagem, Universidade Federal de Minas Gerais-UFMG, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0001-9375-2401
Francisco Carlos Felix LanaDepartment of Maternal and Child Nursing and Public Health, Escola de Enfermagem, Universidade Federal de Minas Gerais-UFMG, Belo Horizonte, Minas Gerais, Brazil.ORCID 0000-0001-9043-3181
Universidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeprosy remains a significant public health problem of high importance. This investigation aims to analyze the spatial distribution of the leprosy epidemiological risk in the municipalities of Minas Gerais.

methodsThis ecological study was conducted with new leprosy cases diagnosed from 2004 to 2019 in the municipalities of the state of Minas Gerais. Based on the epidemiological indicators, a composite indicator called the leprosy epidemiological risk index was estimated, classifying municipalities as high, medium, low and very low risk. For the spatial analysis, the global and local spatial autocorrelation statistics were used to identify the spatial distribution of the leprosy epidemiological risk in the periods 2004-2011 and 2012-2019 and classified as High/High, Low/Low, High/Low and Low /High.

resultsAlthough leprosy is declining in the state of Minas Gerais, the Global Moran Index confirmed the spatial dependence between municipalities for the two analyzed periods, characterizing the formation of clusters. When performing the local spatial autocorrelation, it was found that the macroregions with the highest number of municipalities with high indices, surrounded by other municipalities with high indices (high-high), were Northwest, East, South East, North, and Northeast. The low risk macroregions were Southeast, Center, South-Center and South.

conclusionLeprosy has a heterogeneous spatial pattern and remains concentrated in historically endemic areas of the state. It underscores the importance of intensifying actions to combat leprosy in these municipalities and macroregions. Promote improved access to health services and combat stigma and prejudice to eliminate leprosy as a public health problem.

Indexed as

Endemic DiseasesLeprosyBrazilCitiesHumansRisk FactorsSpatial Analysis

Identifiers

PMID37276221
PMCPMC10298769
OpenAlexW4379469771

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.