Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators
Mem. Inst. Oswaldo Cruz
;
105(4): 541-548, July 2010. ilus, tab
Artículo
en Inglés
| LILACS
| ID: lil-554828
ABSTRACT
Schistosomiasis mansoni is not just a physical disease, but is related to social and behavioural factors as well. Snails of the Biomphalaria genus are an intermediate host for Schistosoma mansoni and infect humans through water. The objective of this study is to classify the risk of schistosomiasis in the state of Minas Gerais (MG). We focus on socioeconomic and demographic features, basic sanitation features, the presence of accumulated water bodies, dense vegetation in the summer and winter seasons and related terrain characteristics. We draw on the decision tree approach to infection risk modelling and mapping. The model robustness was properly verified. The main variables that were selected by the procedure included the terrain's water accumulation capacity, temperature extremes and the Human Development Index. In addition, the model was used to generate two maps, one that included risk classification for the entire of MG and another that included classification errors. The resulting map was 62.9 percent accurate.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Esquistosomiasis mansoni
/
Árboles de Decisión
/
Saneamiento
/
Riesgo
/
Topografía Médica
Tipo de estudio:
Estudio de etiología
/
Evaluación Económica en Salud
/
Estudio de prevalencia
/
Estudio pronóstico
/
Factores de riesgo
Límite:
Animales
/
Humanos
País/Región como asunto:
America del Sur
/
Brasil
Idioma:
Inglés
Revista:
Mem. Inst. Oswaldo Cruz
Asunto de la revista:
Medicina Tropical
/
Parasitología
Año:
2010
Tipo del documento:
Artículo
País de afiliación:
Brasil
Institución/País de afiliación:
Instituto Nacional de Pesquisas Espaciais/BR
/
Instituto de Pesquisa René Rachou-Fiocruz/BR
/
Ministério da Saúde/BR
/
Secretaria de Estado de Saúde/BR
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