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Mapping ticks and tick-borne pathogens in China

Author

Listed:
  • Guo-Ping Zhao

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology
    Logistics College of Chinese People’s Armed Police Forces)

  • Yi-Xing Wang

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Zheng-Wei Fan

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Yang Ji

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Ming-jin Liu

    (University of Florida)

  • Wen-Hui Zhang

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Xin-Lou Li

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Shi-Xia Zhou

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Hao Li

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Song Liang

    (University of Florida)

  • Wei Liu

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

  • Yang Yang

    (University of Florida)

  • Li-Qun Fang

    (State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology)

Abstract

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.

Suggested Citation

  • Guo-Ping Zhao & Yi-Xing Wang & Zheng-Wei Fan & Yang Ji & Ming-jin Liu & Wen-Hui Zhang & Xin-Lou Li & Shi-Xia Zhou & Hao Li & Song Liang & Wei Liu & Yang Yang & Li-Qun Fang, 2021. "Mapping ticks and tick-borne pathogens in China," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21375-1
    DOI: 10.1038/s41467-021-21375-1
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