Sun Yifan, Zhang Yinsheng, Fang Ruying, Wang Jinchen, Yang Xin, Wang Luqi, Guo Yiyang, Miao Linxuan, Li Sen
School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
Sci Data. 2025 Sep 2;12(1):1530. doi: 10.1038/s41597-025-05856-2.
We present a comprehensive dataset on the prevalence of Borrelia burgdorferi sensu lato (B. burgdorferi s.l.) in ticks across Eurasia, comprising 2528 records from 522 publications from 2000 to 2023. The dataset encompasses 6 tick genera and 73 tick species, with detailed documentation of 18 specific Borrelia genospecies as well as co-infections and untypeable genospecies. Each record provides detailed metadata, including tick species, life stages, collection methodologies, and geographical coordinates across various administrative levels. This unified resource addresses the lack of integrated surveillance data on B. burgdorferi s.l. across Eurasia and serves as a foundation for epidemiological analyses, predictive modeling, and evidence-based public health interventions for Lyme disease prevention.
我们展示了一份关于欧亚大陆蜱虫中伯氏疏螺旋体狭义种(Borrelia burgdorferi s.l.)流行情况的综合数据集,该数据集包含2000年至2023年期间522篇出版物中的2528条记录。该数据集涵盖6个蜱属和73种蜱虫,并详细记录了18种特定的伯氏疏螺旋体基因种以及共感染和无法分型的基因种。每条记录都提供了详细的元数据,包括蜱虫种类、生命阶段、采集方法以及不同行政层级的地理坐标。这一统一资源解决了欧亚大陆缺乏关于伯氏疏螺旋体狭义种综合监测数据的问题,并为莱姆病预防的流行病学分析、预测建模和循证公共卫生干预提供了基础。