气候变化领域集成服务门户(CCPortal): Mapping ticks and tick-borne pathogens in China

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DOI	10.1038/s41467-021-21375-1
	Mapping ticks and tick-borne pathogens in China
	Zhao G.-P.; Wang Y.-X.; Fan Z.-W.; Ji Y.; Liu M.-J.; Zhang W.-H.; Li X.-L.; Zhou S.-X.; Li H.; Liang S.; Liu W.; Yang Y.; Fang L.-Q.
发表日期	2021
ISSN	2041-1723
卷号	12 期号:1
英文摘要	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. © 2021, The Author(s).
语种	英语
scopus关键词	disease incidence; disease vector; machine learning; pathogenicity; public health; subspecies; tick; Argas persicus; Article; biogeographic region; Borrelia burgdorferi; Borrelia garinii; Borreliella; Brucella melitensis; China; controlled study; Coxiella burnetii; Dermacentor; Dermacentor daghestanicus; Dermacentor marginatus; Dermacentor nutalli; Dermacentor silvarum; disease burden; ecological niche; Francisella tularensis; geographic distribution; Haemaphysalis concinna; Haemaphysalis hystricis; Haemaphysalis japonica; Haemaphysalis longicornis; human; Hyalomma; Hyalomma asiaticum; Hyalomma scupense; Ixodes crenulatus; Ixodes granulatus; Ixodes ovatus; Ixodes persulcatus; Ixodes sinensis; learning algorithm; machine learning; nonhuman; population size; Rhipicephalus (Boophilus) microplus; Rhipicephalus haemaphysaloides; Rhipicephalus sanguineus; risk factor; seasonal variation; Theileria annulata; tick; tick borne disease; animal; China; classification; cluster analysis; geography; growth, development and aging; incidence; parasitology; physiology; species difference; tick; tick borne disease; tick infestation; China; Dermacentor; Haemaphysalis longicornis; Ixodes persulcatus; Rhipicephalus; Animals; China; Cluster Analysis; Geography; Incidence; Species Specificity; Tick Infestations; Tick-Borne Diseases; Ticks
来源期刊	Nature Communications
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/251509
作者单位	State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Logistics College of Chinese People’s Armed Police Forces, Tianjin, China; College of Public Health and Health Professions and Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
推荐引用方式 GB/T 7714	Zhao G.-P.,Wang Y.-X.,Fan Z.-W.,et al. Mapping ticks and tick-borne pathogens in China[J],2021,12(1).
APA	Zhao G.-P..,Wang Y.-X..,Fan Z.-W..,Ji Y..,Liu M.-J..,...&Fang L.-Q..(2021).Mapping ticks and tick-borne pathogens in China.Nature Communications,12(1).
MLA	Zhao G.-P.,et al."Mapping ticks and tick-borne pathogens in China".Nature Communications 12.1(2021).