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Published on: July 15, 2011
[Epidemiological aspects of leprosy: a spatial approach]
Mônica Duarte-Cunha1, Reinaldo Souza-Santos, Haroldo José de Matos
1Departamento de Vigilância em Saúde, Secretaria Municipal de Saúde de Duque de Caxias, Duque de Caxias, Brasil. monicadacunha@gmail.com
Leprosy cases in Duque de Caxias, Brazil, showed improved diagnosis and reduced severe cases between 1998-2006. Spatial analysis revealed a persistent leprosy cluster in the South-Northwest, aiding targeted public health interventions.
Area of Science:
- Epidemiology
- Spatial Analysis
- Public Health
Context:
- Duque de Caxias, Brazil, is a municipality with high endemicity for leprosy.
- Leprosy (Hansen's disease) remains a significant public health concern in endemic regions.
- Understanding spatial disease patterns is crucial for effective control strategies.
Purpose:
- To identify spatial patterns in leprosy occurrence in Duque de Caxias.
- To analyze changes in leprosy epidemiology over time (1998-2006).
- To assess the utility of spatial analysis in identifying high-risk areas for leprosy.
Summary:
- New leprosy cases reported to the Brazilian National Database on Diseases of Notification (SINAN) from 1998 to 2006 were analyzed.
- Spatial analysis using local empirical Bayesian methods and spatial autocorrelation (Moran, LISA) was employed.
- Results indicated an improved epidemiological situation with earlier diagnosis, a reduction in grade II leprosy, and increased detection of indeterminate forms.
Impact:
- Spatial analysis identified a significant leprosy cluster in the South-Northwest region.
- This cluster was not directly linked to specific control campaigns, highlighting persistent endemic areas.
- The study demonstrates spatial analysis as a vital tool for pinpointing critical areas and evaluating disease control interventions.
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