Geographic weighted regression: applicability to epidemiological studies of leprosy.

Introduction: Geographic information systems (GIS) enable public health data to be analyzed in terms of geographical variability and the relationship between risk factors and diseases. This study discusses the application of the geographic weighted regression (GWR) model to health data to improve the understanding of spatially varying social and clinical factors that potentially impact leprosy prevalence.

Methods: This ecological study used data from leprosy case records from 1998-2006, aggregated by neighborhood in the Duque de Caxias municipality in the State of Rio de Janeiro, Brazil.

Geographical heterogeneity in the analysis of factors associated with leprosy in an endemic area of Brazil: are we eliminating the disease?

Background: The leprosy transmission chain is very complex and, in order to intervene in this transmission, more must be known about the factors linked to falling ill. There are doubts as to the influence of population size, population density and the disease's magnitude in detection rate trends. This paper aimed to identify factors associated with detection of leprosy in an endemic municipality of Rio de Janeiro State, Brazil.

[Epidemiological aspects of leprosy: a spatial approach].

The objective of this study was to identify spatial patterns in the occurrence of leprosy in Duque de Caxias, a municipality (county) with high endemicity for the disease in the State of Rio de Janeiro, Brazil. The authors selected all new leprosy cases reported to the Brazilian National Database on Diseases of Notification (SINAN) from 1998 to 2006. The analysis was performed according to three-year periods, followed by spatial analysis according to the local empirical Bayesian method and calculation of global (Moran) and local (LISA) spatial autocorrelation.

[The impact of leprosy elimination strategy on an endemic municipality in Rio de Janeiro State, Brazil].

Various strategies for eliminating leprosy as a public health problem have evolved in the last 20 years. In some countries, especially highly endemic ones, the WHO target rate for leprosy elimination fell far short. The current study aimed to analyze the impact of different strategies for reducing leprosy prevalence in Duque de Caxias, a highly endemic municipality in Rio de Janeiro State, Brazil.

Social representation of Hansen's disease thirty years after the term "leprosy" was replaced in Brazil.

Based on the theories of social representation (SC) and Central Core (CC), a structural study was undertaken regarding the neologism hanseniase (Hansen's disease), the term adopted by Brazil's Ministry of Health in the 1970s. Carried out during 2001, this study interviewed eight hundred housewives residing in the Rio de Janeiro and Duque de Caxias municipalities. It found that Hansen's disease is part of a process of modernization of common thinking, anchored in the additional representation of leprosy.