State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Logistics College of Chinese People's Armed Police Forces, Tianjin, P.R. China.
Nat Commun. 2021 Feb 17;12(1):1075. doi: 10.1038/s41467-021-21375-1.
Understanding ecological niches of major tick species and prevalent tick-borne pathogens is crucial for efficient surveillance and control of tick-borne diseases. Here we provide an up-to-date review on the spatial distributions of ticks and tick-borne pathogens in China. We map at the county level 124 tick species, 103 tick-borne agents, and human cases infected with 29 species (subspecies) of tick-borne pathogens that were reported in China during 1950-2018. Haemaphysalis longicornis is found to harbor the highest variety of tick-borne agents, followed by Ixodes persulcatus, Dermacentor nutalli and Rhipicephalus microplus. Using a machine learning algorithm, we assess ecoclimatic and socioenvironmental drivers for the distributions of 19 predominant vector ticks and two tick-borne pathogens associated with the highest disease burden. The model-predicted suitable habitats for the 19 tick species are 14‒476% larger in size than the geographic areas where these species were detected, indicating severe under-detection. Tick species harboring pathogens of imminent threats to public health should be prioritized for more active field surveillance.
了解主要蜱种和流行的蜱传病原体的生态位对于蜱传疾病的有效监测和控制至关重要。在这里,我们提供了一份关于中国蜱和蜱传病原体空间分布的最新综述。我们在县级水平上绘制了 124 种蜱、103 种蜱传因子以及在中国 1950-2018 年期间报告的 29 种(亚种)蜱传病原体感染的人类病例。发现长角血蜱携带的蜱传因子种类最多,其次是全沟硬蜱、柏氏禽刺螨和微小牛蜱。我们使用机器学习算法评估了 19 种主要媒介蜱和两种与最高疾病负担相关的蜱传病原体分布的生态气候和社会环境驱动因素。预测的 19 种蜱种的适宜栖息地比这些物种检测到的地理区域大 14-476%,表明严重的检测不足。应优先对携带对公众健康构成严重威胁的病原体的蜱种进行更积极的实地监测。