Evidence map›Paper›PMID 41441566›Full record

ArticleTropical medicine and infectious disease2025

Analysis of the Spatial Distribution of New Cases of Leprosy in the State of Pernambuco, Northeast Brazil.

Celivane Cavalcanti Barbosa, Gilberto Silva Nunes Bezerra, Amanda Tavares Xavier, André Luiz Sá de Oliveira, Marcílio Sandro de Medeiros, Cristine Vieira do Bonfim, Zulma Maria de Medeiros, Wayner Vieira de Souza

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. Geospatial inequalities in severe leprosy disability in Pernambuco before and during COVID-19.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases · 2026
    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

8 authors.

Celivane Cavalcanti BarbosaDepartment of Collective Health, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife 50740-465, Brazil.ORCID 0000-0001-8405-0432
Gilberto Silva Nunes BezerraDepartment of Life & Health Sciences, Dundalk Institute of Technology, A91 K584 Dundalk, Ireland.ORCID 0000-0001-7434-3223
Amanda Tavares XavierNursing Department, Academic Center of Vitória-CAV, Federal University of Pernambuco, Vitória de Santo Antão 55608-680, Brazil.ORCID 0000-0001-9775-1078
André Luiz Sá de OliveiraCenter for Statistics and Geoprocessing, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife 50740-465, Brazil.ORCID 0000-0002-2483-550X
Marcílio Sandro de MedeirosDepartment of Studies on Violence and Health Jorge Careli, National School of Public Health Sergio Arouca, Oswaldo Cruz Foundation (Fiocruz), Rio de Janeiro 21040-361, Brazil.ORCID 0000-0002-7116-6097
Cristine Vieira do BonfimSocial Research Division, Joaquim Nabuco Foundation, Ministry of Education, Recife 52171-010, Brazil.ORCID 0000-0002-4495-9673
Zulma Maria de MedeirosDepartment of Parasitology, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife 50740-465, Brazil.ORCID 0000-0002-4434-955X
Wayner Vieira de SouzaDepartment of Collective Health, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife 50740-465, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico - CNPq 310426/2022-7Improvement of Higher Education Personnel-Brazil (CAPES) 001
6 · The paper itself

Abstract

Spatial analysis of leprosy case distribution serves as a critical tool for identifying priority areas for intervention, particularly in settings with marked epidemiological heterogeneity. This study aimed to analyze the spatial distribution of new leprosy cases in Pernambuco, Brazil, 2000-2024. This is an ecological study with the municipalities of residence as the units of analysis. The data was extracted from the Notifiable Diseases Information System. The average incidence rates were calculated: general, in children under 15 years of age and with grade 2 physical disability at diagnosis, for four five-year periods. Bayesian smoothing and Moran's global and local autocorrelation statistics were applied. The average rates of overall detection were 29.0/100,000 inhabitants per year (very high); in children under 15 years of age, 10.7/100,000 inhabitants per year (hyperendemic); and grade 2 physical disability, 1.6/100,000 inhabitants per year (low). Spatial analysis showed significant spatial heterogeneity, with clusters of high overall detection rates of leprosy cases, high detection rates among children under 15, and high rates of grade 2 physical disability at diagnosis, mainly in macro-regions I and IV. There is circulation of

Indexed as

ecological studiesleprosyneglected diseasespublic healthspatial analysis

Identifiers

PMID41441566
PMCPMC12737496

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.