Environmental determinants of Ixodes ricinus ticks and the incidence of Borrelia burgdorferi sensu lato, the agent of Lyme borreliosis, in Scotland
Environmental determinants of Ixodes ricinus ticks and the incidence of Borrelia burgdorferi sensu lato, the agent of Lyme borreliosis, in Scotland
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DOI：
10.1017/s003118201200145x
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发表时间：
2013-02-01
期刊：
影响因子：
2.4
通讯作者：
Gilbert, L.
中科院分区：
文献类型：
--
作者：
James, M. C.;Bowman, A. S.;Gilbert, L.
莱姆疏螺旋体病（LB）是北方最常见的人类节肢动物传播疾病。在欧洲，病原体伯氏疏螺旋体广义复合体主要由蓖麻硬蜱传播。本研究的目的是确定影响任务完成的环境因素。蓖麻若虫多度和B.布格多费里公司在苏格兰进行的一项大规模调查显示，蜱虫，主机粪便和植被进行了调查，在25个林地网站，从地理信息系统（GIS）的气候变量提取每个站点。共进行了2397个10 m2样带调查，调查了13250个I.蓖麻子计数。测定了五溴二苯醚中的B。布格多费里公司感染率0.8-13.9%，平均5.6%。有较多的寻医问药，B的发病率较高。布格多费里公司与针叶林相比，在鹿丰度较高的地区和混交林/落叶林中发现了感染，并且与季节、海拔、降雨量和地面植被的相关性较弱。在所遇到的范围内，若虫丰度和感染率之间没有相关性。了解与蜱虫丰度和病原体流行相关的环境条件，可用于降低暴露风险，并预测未来病原体的流行和环境变化下的分布。
Lyme borreliosis (LB) is the most common arthropod-borne disease of humans in the Northern hemisphere. In Europe, the causative agent, Borrelia burgdorferi sensu lato complex, is principally vectored by Ixodes ricinus ticks. The aim of this study was to identify environmental factors influencing questing I. ricinus nymph abundance and B. burgdorferi s.l. infection in questing nymphs using a large-scale survey across Scotland. Ticks, host dung and vegetation were surveyed at 25 woodland sites, and climatic variables from a Geographical Information System (GIS) were extracted for each site. A total of 2397 10 m(2) transect surveys were conducted and 13 250 I. ricinus nymphs counted. Questing nymphs were assayed for B. burgdorferi s.l. and the average infection prevalence was 5.6% (range 0.8-13.9%). More questing nymphs and higher incidence of B. burgdorferi s.l. infection were found in areas with higher deer abundance and in mixed/deciduous compared to coniferous forests, as well as weaker correlations with season, altitude, rainfall and ground vegetation. No correlation was found between nymph abundance and infection prevalence within the ranges encountered. An understanding of the environmental conditions associated with tick abundance and pathogen prevalence may be used to reduce risk of exposure and to predict future pathogen prevalence and distributions under environmental changes.