ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2020
Spatial analysis of epidemiological and quality indicators of health services for leprosy in hyperendemic areas in Northeastern Brazil.
Article in Revista do Instituto de Medicina Tropical de Sao Paulo, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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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.
The trial behind it
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Prevalence of paucibacillary cases of leprosy in Brazil: a 20-year systematic review and meta-analysis.Frontiers in medicine · 2024Pooled it
- Comparative analysis of the leprosy detection rate regarding its clinical spectrum through PCR using theFrontiers in microbiology · 2024Pooled it
- Analysis of the Spatial Distribution of New Cases of Leprosy in the State of Pernambuco, Northeast Brazil.Tropical medicine and infectious disease · 2025Article
- Spatial associations of Hansen's disease and schistosomiasis in endemic regions of Minas Gerais, Brazil.PLoS neglected tropical diseases · 2024Article
- Temporal trends and spatial analysis of leprosy surveillance indicators in the municipalities of the state of Mato Grosso, 2008-2022.Revista da Sociedade Brasileira de Medicina Tropical · 2024Article
- Profile of the leprosy endemic in the district of Murrupula, Nampula, Mozambique: A population-based study.Revista da Sociedade Brasileira de Medicina Tropical · 2023Article
- Evaluation of completeness, consistency and non-duplication of leprosy notification data on the Notifiable Health Conditions Information System, João Pessoa, Paraíba, Brazil: a descriptive study, 2001-2019.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2023Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leprosy is a public health problem due to the physical disabilities and deformities it causes. This study aimed to describe new leprosy cases using an operational classification and analyzing spatial patterns by means of epidemiological and quality indicators of health services in Pernambuco State, Brazil, between 2005 and 2014. This was an ecological study performed in 184 municipalities grouped into 12 health regions units for analysis. To analyze spatial patterns, the Bayesian local empirical method and Moran's spatial autocorrelation indicator were applied and box and Moran maps were used. Individuals aged ≥15 years old, grade zero physical disability and complete remission as the treatment outcome were predominant in both paucibacillary and multibacillary cases, the only difference was the predominance of females (n=9,286; 63.00%) and males (n=8,564; 60.70%), respectively. These variables were correlated (p<0.05) with the operational classification. The overall detection rate showed three high-priority areas; the indicator rate of grade 2 physical disability revealed clusters in regions IV, V, and VI; and the indicator rate of cases with some degree of disability showed precarious municipalities in seven health regions. Pernambuco maintains an active chain of transmission and ongoing endemicity of leprosy. Therefore, spatial analysis methods allow the identification of priority areas for intervention, thereby supporting the disease elimination strategy.
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