多因素空间复合模型预测我国疟疾流行区分布态势

Application of Multifactor Spatial Composite Model to Predict Transmission Tendency of Malaria at National Level

目的 应用地理信息系统 (GIS)对全国疟疾流行区分布态势进行预测。 方法 在ArcView 3 .0a软件及spatialanalyst模块的支持下 ,分别对疟原虫年生长发育累积度日 (TGDD)、降雨、相对湿度进行单因素的表面趋势空间分析 ,并根据Delphi法咨询结果 ,按上述 3种气象因素的 5∶3∶2比例进行空间叠加分析 ,以建立GIS复合模型。 结果 获多层GIS空间复合模型 ,在此基础上获TGDD、降雨、相对湿度的全国疟疾影响因素多层分布图 ,预测了全国疟疾流行地区分布态势。 结论 多因素GIS复合模型预测的全国疟疾流行区域分布与以往的文献报道结果基本相似 ,因此 ,本法可供疟疾传播区进行大范围、多因素预测作参考。目的 应用地理信息系统 (GIS)对全国疟疾流行区分布态势进行预测。 方法 在ArcView 3 .0a软件及spatialanalyst模块的支持下 ,分别对疟原虫年生长发育累积度日 (TGDD)、降雨、相对湿度进行单因素的表面趋势空间分析 ,并根据Delphi法咨询结果 ,按上述 3种气象因素的 5∶3∶2比例进行空间叠加分析 ,以建立GIS复合模型。 结果 获多层GIS空间复合模型 ,在此基础上获TGDD、降雨、相对湿度的全国疟疾影响因素多层分布图 ,预测了全国疟疾流行地区分布态势。 结论 多因素GIS复合模型预测的全国疟疾流行区?

Objectives To predict the transmission tendency of malaria at national level by application of geographic information system(GIS) technique. Methods With the assistance of ArcView 3.0a software and its spatial analyst extension, the surface spatial analysis on three natural factors, namely, total growing degree days(TGDD), precipitation and relative humidity, were conducted individually. The map calculation was preformed based on the three factors′ ratio of 5∶3∶2 resulted from the Delphi investigation. Results The individual maps and composition map of TGDD, precipitation and relative humidity were created, respectively, based on the spatial composite model, which were used to predict the transmission tendency of malaria at national level. Conclusion The high risk areas for malaria transmission, predicted by the spatial composite model based on the multilayers of environmental factors, are correlated with the previous reports. This will, therefore, provide information for predicting malaria transmission by multiple factors in a larger area.