Department of Geoinformatics, VSB - Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic.
Faculty of Science, University of South Bohemia, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic; Institute of Parasitology, Biology Centre Czech Academy of Sciences, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic.
Ticks Tick Borne Dis. 2019 Jun;10(4):905-910. doi: 10.1016/j.ttbdis.2019.04.014. Epub 2019 Apr 22.
Research projects in the field of eco-epidemiology of tick-borne diseases often require extensive sampling of arthropod vectors in the field. The aim of our study was to use geographical information systems (GIS) to select appropriate sampling sites of Ixodes ricinus ticks in central European habitat for further ecological studies of vector-borne pathogens (tick-borne encephalitis virus and Borrelia burgdorferi sensu lato). The model area was the Czech-German borderland (the region of South Bohemia and two regions in Germany: the Upper Palatinate and Lower Bavaria) where numerous human tick-borne encephalitis cases are reported annually. We prepared the sampling site design as a multi-criteria evaluation (MCE) task. In the GIS environment, we conducted MCE with a set of environmental, socio-economic and epidemiological data (altitude, vegetation cover, number of tick-borne encephalitis cases recorded in the past, tourist activity). The MCE classified the surveyed area into two classes: suitable for tick collection and unsuitable for tick collection. Subsequently, 50 tick sampling sites were randomly selected in the suitable area: 30 in South Bohemia (Czech Republic) and 20 in the Upper Palatinate and Lower Bavaria regions (Bavaria, Germany). The sampling sites were identified and surveyed in the field. The presence of ticks was confirmed by flagging at each of the selected plots. The described MCE system represents a versatile tool for semi-randomized design of tick sampling sites for research projects in the field of tick-borne pathogen ecology as well as for tick-borne pathogen surveillance programs run by local health authorities.
在蜱传病的生态流行病学研究项目中,通常需要在野外对节肢动物媒介进行广泛采样。我们的研究目的是使用地理信息系统(GIS)来选择中欧栖息地中合适的硬蜱采样点,以便进一步研究媒介传播病原体(蜱传脑炎病毒和伯氏疏螺旋体)。模型区域是捷克 - 德国边境地区(南波希米亚地区和德国的两个地区:上巴伐利亚州和下巴伐利亚州),每年都会报告许多人类蜱传脑炎病例。我们准备了采样点设计作为多标准评估(MCE)任务。在 GIS 环境中,我们使用一组环境、社会经济和流行病学数据(海拔、植被覆盖、过去记录的蜱传脑炎病例数、旅游活动)进行 MCE。MCE 将调查区域分为两类:适合采集蜱虫和不适合采集蜱虫。随后,在合适的区域随机选择了 50 个蜱虫采样点:30 个在南波希米亚(捷克共和国),20 个在上巴伐利亚州和下巴伐利亚州(巴伐利亚州,德国)。在野外确定并调查了采样点。在每个选定的样方上用标记旗确认了蜱虫的存在。描述的 MCE 系统代表了一种通用工具,用于蜱传病原体生态学研究项目以及地方卫生当局运行的蜱传病原体监测计划中的蜱虫采样点的半随机设计。