Wang Shan-Shan, Liu Jin-Yue, Wang Bao-Yu, Wang Wen-Jing, Cui Xiao-Ming, Jiang Jia-Fu, Sun Yi, Guo Wen-Bin, Pan Yu-Sheng, Zhou Yu-Hao, Lin Zhe-Tao, Jiang Bao-Gui, Zhao Lin, Cao Wu-Chun
Institute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
One Health. 2023 Feb 12;16:100508. doi: 10.1016/j.onehlt.2023.100508. eCollection 2023 Jun.
The increasing incidence and range expansion of tick-borne diseases have caused global threats to human and animal health under the background of climate and socioeconomic changes. As an efficient vector in transmission of tick-borne diseases, a growing burden caused by and associated pathogens could not be underestimated. This study summarized the distribution, hosts, and pathogens of , and predicted the suitable habitats of this tick species worldwide. An integrated database involving a field survey, reference book, literature review, and related website was constructed. Location records of and associated pathogens were incorporated into distribution maps using ArcGIS software. Positive rates for -associated agents were estimated by meta-analysis. The global distribution of the tick species was predicted using Maxent model. was distributed in 14 countries across the Eurasian continent, involving Russia, China, Japan, and several Baltic Sea states, which ranged between 21°N to 66°N. The tick species fed on 46 species of hosts, and 51 tick-borne agents could be harbored by . The predictive model showed that could be predominantly distributed in northern Europe, western Russia, and northern China. Our study fully clarified the potential public health risks posed by and -borne pathogens. Surveillance and control measures of tick-borne diseases should be enhanced to promote the health of humans, animals, and ecosystems.
在气候和社会经济变化的背景下，蜱传疾病发病率的上升和范围的扩大对人类和动物健康构成了全球威胁。作为蜱传疾病传播的有效媒介，蜱及其相关病原体所造成的日益加重的负担不容小觑。本研究总结了该蜱的分布、宿主和病原体，并预测了该蜱种在全球的适宜栖息地。构建了一个综合数据库，涉及实地调查、参考书、文献综述和相关网站。利用ArcGIS软件将该蜱及其相关病原体的位置记录纳入分布图。通过荟萃分析估计该蜱相关病原体的阳性率。使用Maxent模型预测该蜱种的全球分布。该蜱分布于欧亚大陆的14个国家，包括俄罗斯、中国、日本和几个波罗的海国家，范围在北纬21°至66°之间。该蜱以46种宿主为食，可携带51种蜱传病原体。预测模型表明，该蜱可能主要分布在北欧、俄罗斯西部和中国北部。我们的研究充分阐明了该蜱及其传播的病原体所带来的潜在公共卫生风险。应加强蜱传疾病的监测和控制措施，以促进人类、动物和生态系统的健康。
