Gaziosmanpasa University, Soil Department, Tasliciftlik 60240, Tokat, Turkey.
Trans R Soc Trop Med Hyg. 2010 Nov;104(11):726-32. doi: 10.1016/j.trstmh.2010.08.003.
We described the spatiotemporal change of malaria (Plasmodium vivax) in Turkey over 34 years (1975-2008), and assessed the role of environmental variables in this change. We developed seven 5-year-period raster maps by using geo-referenced malaria case data from the centres of 81 provinces and the kriging method with a spherical variogram model in a geographic information systems (GIS) model. We also modelled malaria incidence in GIS by using our average malaria incidence raster map, and complementary spatial database including the raster map layers of 14 environmental variables. We chose linear regression analysis with backward method to investigate relationships among variables and develop a model. The model was run in GIS to obtain a model incidence raster map. We tested the reliability of the model map by residual statistics, and found the model map dependable. Five-year-period maps revealed that the distribution of malaria cases moved from the East Mediterranean region to the Southeast Anatolia region due to changing human activities. The latitude, minimum temperature, distance to seas and elevation variables were found to have significant impacts on malaria. Consequently, the model incidence map established a good background for early warning systems to predict epidemics of malaria following environmental changes.
我们描述了 34 年来(1975-2008 年)土耳其疟疾(间日疟原虫)的时空变化,并评估了环境变量在这一变化中的作用。我们使用来自 81 个省中心的地理参考疟疾病例数据和地理信息系统(GIS)模型中的球形变异图模型的克里金方法,开发了七个 5 年期间的栅格地图。我们还使用平均疟疾发病率栅格地图和包括 14 个环境变量的栅格地图层的补充空间数据库,在 GIS 中对疟疾发病率进行建模。我们选择具有向后方法的线性回归分析来研究变量之间的关系并开发模型。该模型在 GIS 中运行以获得模型发病率栅格地图。我们通过残差统计测试了模型地图的可靠性,发现模型地图可靠。五年期地图显示,由于人类活动的变化,疟疾病例的分布从地中海东部地区转移到东南安纳托利亚地区。纬度、最低温度、距海距离和海拔变量对疟疾有显著影响。因此,该模型发病率图为建立环境变化后预测疟疾流行的预警系统提供了良好的背景。