Spatial risk of Haemaphysalis longicornis borne Dabieshan tick virus (DBTV) in China

Xiaohu Han,Shan Gao, Qing Xin, Mingwei Yang, Yudan Bi, Feng Jiang,Zan Zeng,Wei Kan, Tongyao Wang,Qijun Chen,Zeliang Chen

JOURNAL OF MEDICAL VIROLOGY(2024)

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摘要
The uncertainty and unknowability of emerging infectious diseases have caused many major public health and security incidents in recent years. As a new tick-borne disease, Dabieshan tick virus (DBTV) necessitate systematic epidemiological and spatial distribution analysis. In this study, tick samples from Liaoning Province were collected and used to evaluate distribution of DBTV in ticks. Outbreak points of DBTV and the records of the vector Haemaphysalis longicornis in China were collected and used to establish a prediction model using niche model combined with environmental factors. We found that H. longicornis and DBTV were widely distributed in Liaoning Province. The risk analysis results showed that the DBTV in the eastern provinces of China has a high risk, and the risk is greatly influenced by elevation, land cover, and meteorological factors. The risk geographical area predicted by the model is significantly larger than the detected positive areas, indicating that the etiological survey is seriously insufficient. This study provided molecular and important epidemiological evidence for etiological ecology of DBTV. The predicted high-risk areas indicated the insufficient monitoring and risk evaluation and the necessity of future monitoring and control work.
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关键词
DBTV,H. longicornis,Liaoning Province,risk analysis,spatial modeling
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