Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/16379
Title: Geographic weighted regression: applicability to epidemiological studies of leprosy
Authors: Duarte-Cunha, Mônica
Almeida, Andréa Sobral de
Cunha, Geraldo Marcelo da
Santos, Reinaldo Souza dos
Affilliation: Secretaria Municipal de Saúde de Duque de Caxias, Departamento de Vigilância em Saúde, Duque de Caxias, RJ, Brasil.
Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Departamento de Endemias Samuel Pessoa, Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Departamento de Epidemiologia, Rio de Janeiro, RJ, Brazil.
Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Departamento de Endemias Samuel Pessoa, Rio de Janeiro, RJ, Brasil.
Abstract: 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. In the GWR model, the associations between the log of the leprosy detection rate and social and clinical factors were analyzed. RESULTS: Maps of the estimated coefficients by neighborhood confirmed the heterogeneous spatial relationships between the leprosy detection rates and the predictors. The proportion of households with piped water was associated with higher detection rates, mainly in the northeast of the municipality. Indeterminate forms were strongly associated with higher detections rates in the south, where access to health services was more established. CONCLUSIONS: GWR proved a useful tool for epidemiological analysis of leprosy in a local area, such as Duque de Caxias. Epidemiological analysis using the maps of the GWR model offered the advantage of visualizing the problem in sub-regions and identifying any spatial dependence in the local study area.
Keywords: Leprosy
Epidemiology
Spatial analysis
GWR
keywords: Lepra
Epidemiologia
Análise espacial
DeCS: Leprosy
Epidemiology
Spatial analysis
Issue Date: 2016
Publisher: Universidade Federal de Mato Grosso
Citation: DUARTE-CUNHA, Mônica et al. Geographic weighted regression: applicability to epidemiological studies of leprosy. Rev. Sociedade Brasileira de Medicina Tropical, v.49, n.1, p.74-82, 2016.
DOI: 10.1590/0037-8682-0307-2015
ISSN: 0037-8682
Copyright: open access
Appears in Collections:ENSP - Artigos de Periódicos

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