Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators
Schistosomiasis risk mapping in the state of Minas Gerais, Brazil, using a decision tree approach, remote sensing data and sociological indicators
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DOI：
10.1590/s0074-02762010000400033
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发表时间：
2010-07-01
期刊：
影响因子：
--
通讯作者：
Carvalho, Omar S
中科院分区：
文献类型：
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作者：
Martins-Bedê, Flávia T;Dutra, Luciano V;Carvalho, Omar S
曼氏血吸虫病不仅是一种身体疾病，还与社会和行为因素有关。生物螺属的蜗牛是曼氏血吸虫的中间宿主，通过水感染人类。本研究的目的是对米纳斯吉拉斯州(MG)的血吸虫病风险进行分类。我们侧重于社会经济和人口特征、基本卫生特征、蓄积水体的存在、夏季和冬季茂密的植被以及相关的地形特征。我们利用决策树方法对感染风险进行建模和映射。模型的稳健性得到了适当的验证。程序选取的主要变量包括地形蓄水量、极端温度和人类发展指数。此外，该模型被用来生成两个地图，一个包括整个MG的风险分类，另一个包括分类错误。得到的地图准确率为62.9%。
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.