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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Veröffentlicht in:Cadernos de saúde pública 2011-05, Vol.27 (5), p.899-908
Hauptverfasser: 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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container_title Cadernos de saúde pública
container_volume 27
creator 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
description 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.
doi_str_mv 10.1590/S0102-311X2011000500008
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subjects Adolescent
Adult
Brazil - epidemiology
Child
Child, Preschool
Educational Status
Endemic Diseases - prevention & control
Female
Geographic Information Systems
Humans
Infant
Infant, Newborn
Male
Schistosomiasis mansoni - epidemiology
Schistosomiasis mansoni - prevention & control
Socioeconomic Factors
title Identification of schistosomiasis risk areas using spatial analysis in Lauro de Freitas, Bahia State, Brazil
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