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Mapping ticks and tick-borne pathogens in China.

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This study maps tick and tick-borne pathogen distributions in China, revealing significant under-detection of suitable habitats for 19 key tick species. Prioritizing surveillance for high-threat pathogen vectors is essential for disease control.

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Area of Science:

  • Veterinary Entomology
  • Epidemiology
  • Disease Ecology

Background:

  • Tick-borne diseases pose a significant public health challenge globally.
  • Understanding tick and pathogen ecology is vital for effective disease surveillance and control strategies.
  • China harbors a diverse array of tick species and associated pathogens, necessitating updated spatial distribution data.

Purpose of the Study:

  • To provide an up-to-date review and spatial distribution mapping of ticks and tick-borne pathogens in China.
  • To identify key tick species and pathogens associated with the highest disease burden.
  • To assess the ecoclimatic and socioenvironmental drivers of tick and pathogen distributions and identify under-detected areas.

Main Methods:

  • Comprehensive literature review and data compilation of tick species, tick-borne agents, and human cases in China (1950-2018).
  • Geographic mapping of distributions at the county level.
  • Application of a machine learning algorithm to model suitable habitats and identify distribution drivers for predominant tick species and pathogens.

Main Results:

  • Mapped distributions of 124 tick species, 103 tick-borne agents, and human cases infected with 29 pathogen species/subspecies.
  • Identified Haemaphysalis longicornis as harboring the highest variety of tick-borne agents, followed by Ixodes persulcatus, Dermacentor nutalli, and Rhipicephalus microplus.
  • Model-predicted suitable habitats for 19 predominant tick species were 14–476% larger than detected areas, indicating significant under-detection.

Conclusions:

  • Severe under-detection of tick species and their suitable habitats highlights gaps in current surveillance efforts.
  • Prioritizing field surveillance for tick species that harbor pathogens posing imminent threats to public health is crucial.
  • Updated spatial data and predictive modeling are essential for refining tick-borne disease control and prevention strategies in China.