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Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil

The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State,...

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Bibliographic Details
Published in:Cadernos de saúde pública 2011-05, Vol.27 (5), p.899-908
Main Authors: Cardim, Luciana Lobato, Ferraudo, Antonio Sergio, Pacheco, Selma Turrioni Azevedo, Reis, Renato Barbosa, Silva, Marta Mariana Nascimento, Carneiro, Deborah Daniela M Trabuco, Bavia, Maria Emilia
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Language:Portuguese
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Summary:The spread of schistosomiasis mansoni defies efforts by Brazil's Unified National Health System, thus demonstrating the need to reassess endemic control programs in the country. The aim of this study was to demarcate geographic areas at risk of schistosomiasis in Lauro de Freitas, Bahia State, Brazil, and to establish the epidemiological and socioeconomic profile of the disease in this municipality (county). Kernel density estimator exploratory analysis was used for visual identification of areas at risk. Kulldorff & Nagarwalla's spatial analysis was used to obtain statistically significant clusters and to measure risk. These technologies identified four risk areas for schistosomiasis. Clusters identified within the risk areas were characterized by lower socioeconomic conditions. Multiple correspondence analyses showed a distinct profile for positive patients in the primary cluster. The techniques employed here represent an important methodological acquisition for tracking and controlling schistosomiasis in Lauro de Freitas.
ISSN:1678-4464
DOI:10.1590/S0102-311X2011000500008