Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators

Memórias do Instituto Oswaldo Cruz

Flávia T Martins-bedê²  Luciano V Dutra²  Corina C Freitas²  Ricardo Jps Guimarães¹  Ronaldo S Amaral¹  Sandra C Drummond¹  Omar S Carvalho¹ 

[1] ,Instituto Nacional de Pesquisas EspaciaisSão José dos Campos SP ,Brasil

关键词: schistosomiasis;    risk mapping;    public health;    decision tree;   

DOI  :  10.1590/S0074-02762010000400033

来源: SciELO

【 摘 要 】

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% accurate.

【 授权许可】

CC BY   
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