Daniel M, Kolár J, Zeman P, Pavelka K, Sádlo J
School of Public Health, Postgraduate Medical School, Prague, Czech Republic.
Exp Appl Acarol. 1998 Jul;22(7):417-33. doi: 10.1023/a:1006030827216.
The main objective of this project was to predict Ixodes ricinus abundant habitats reliably as a means of tick-borne encephalitis (TBE) risk assessment for the prevention of this disease. The vegetation types were used as the indicators of an ecosystem suitable for tick occurrence, for TBE virus circulation and, accordingly, for the existence of natural foci of this infection. Remote sensing methods were used to determine the indicative plant cover. Satellite data covering an experimental area of 70 x 70 km in Central Bohemia, the Czech Republic, was acquired by the Landsat 5 TM scanner. Nine forest classes were recognized in the experimental area by successive supervised and unsupervised classifications and identified in a field-checking botanical survey. An epidemiological TBE map based on human cases contracted in the territory under study was exploited for the evaluation of risk in particular forest classes. Predictive maps are expressed both in digital and in printed forms at a scale of 1:300,000 for an overall risk evaluation and at a scale of 1:25,000 for a detailed local orientation.
该项目的主要目标是可靠地预测蓖麻硬蜱的丰富栖息地，以此作为蜱传脑炎（TBE）风险评估的一种手段，用于预防这种疾病。植被类型被用作适合蜱出现、TBE病毒传播以及相应地存在这种感染自然疫源地的生态系统指标。利用遥感方法确定指示性植被覆盖情况。由陆地卫星5号专题制图仪扫描仪获取了覆盖捷克共和国中波希米亚70×70千米试验区的卫星数据。通过连续的监督分类和非监督分类在试验区识别出9种森林类别，并在实地核查植物学调查中予以确定。利用基于在研究区域内感染人类病例的TBE流行病学地图来评估特定森林类别的风险。预测地图以数字和印刷形式呈现，总体风险评估的比例尺为1:300,000，详细的局部定位比例尺为1:25,000。
