Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jan;96(1):e29373.
doi: 10.1002/jmv.29373.

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

Xiaohu Han  1 , Shan Gao  2 , Qing Xin  1 , Mingwei Yang  2 , Yudan Bi  1 , Feng Jiang  1 , Zan Zeng  3 , Wei Kan  4 , Tongyao Wang  1 , Qijun Chen  1 , Zeliang Chen  1   2   5
Affiliations

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

Xiaohu Han et al. J Med Virol. 2024 Jan.

Abstract

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.

Keywords: DBTV; H. longicornis; Liaoning Province; risk analysis; spatial modeling.

PubMed Disclaimer

References

REFERENCES

    1. Liu Z, Li L, Xu W, et al. Extensive diversity of RNA viruses in ticks revealed by metagenomics in northeastern China. PLoS Neglected Trop Dis. 2022;16(12):e0011017.
    1. Li X, Ji H, Wang D, et al. Molecular detection and phylogenetic analysis of tick-borne encephalitis virus in ticks in northeastern China. J Med Virol. 2022;94(2):507-513.
    1. Zhang X, Wang N, Wang Z, et al. First fatal infection and phylodynamic analysis of severe fever with thrombocytopenia syndrome virus in Jilin Province, Northeastern China. Virologica Sinica. 2021;36(2):329-332.
    1. Raghavan RK, Barker SC, Cobos ME, et al. Potential spatial distribution of the newly introduced long-horned tick, Haemaphysalis longicornis in North America. Sci Rep. 2019;9(1):498.
    1. Mollentze N, Babayan SA, Streicker DG. Identifying and prioritizing potential human-infecting viruses from their genome sequences. PLoS Biol. 2021;19(9):e3001390.

Publication types

LinkOut - more resources