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中国蜱类的分布和多样性数据集。

A dataset of distribution and diversity of ticks in China.

机构信息

School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan, P.R. China.

Centre for Ecology & Hydrology, Wallingford, UK.

出版信息

Sci Data. 2019 Jul 1;6(1):105. doi: 10.1038/s41597-019-0115-5.

DOI:10.1038/s41597-019-0115-5
PMID:31263100
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6602924/
Abstract

While tick-borne zoonoses, such as Lyme disease and tick-borne encephalitis, present an increasing global concern, knowledge of their vectors' distribution remains limited, especially for China. In this paper, we present the first comprehensive dataset of known tick species and their distributions in China, derived from peer-reviewed literature published between 1960 and 2017. We searched for journal articles, conference papers and degree thesis published in both English and Chinese, extracted geographic information associated with tick occurrence, and applied quality-control procedures to remove duplicates and ensure accuracy. The dataset contains 5731 records of geo-referenced occurrences for 123 tick species distributed over 1141 locations distinguished at four levels of scale i.e., provincial, prefectural, county, and township and finer. The most frequently reported tick species include Haemaphysalis longicornis, Dermacentor silvarum, Ixodes persulcatus, Haemaphysalis conicinna, Rhipicephalus microplus, and Rhipicephalus sanguineus sensu lato. The geographical dataset provides an improved map of where ticks inhabit China and can be used for a variety of spatial analyses of ticks and the risk of zoonoses they transmit.

摘要

虽然蜱传动物病,如莱姆病和蜱传脑炎,引起了全球越来越多的关注,但对其传播媒介的分布情况仍知之甚少,特别是在中国。本文提供了中国已知蜱种及其分布的首个综合数据集,该数据集源自 1960 年至 2017 年期间发表的同行评审文献。我们搜索了英文和中文发表的期刊文章、会议论文和学位论文,提取了与蜱虫发生相关的地理信息,并采用质量控制程序来去除重复项并确保准确性。该数据集包含 5731 条记录,涉及分布在中国 1141 个地点的 123 种蜱虫,这些地点按省级、地级、县级和乡镇级以及更细的四个尺度进行了区分。报告频率最高的蜱种包括长角血蜱、森林革蜱、全沟硬蜱、二棘血蜱、微小牛蜱和镰形扇头蜱。地理数据集提供了一个改进的蜱虫在中国的栖息地地图,并可用于对蜱虫及其传播的动物病的风险进行各种空间分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/c861953c8b8d/41597_2019_115_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/743e60bfcf70/41597_2019_115_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/fb09c873330c/41597_2019_115_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/5c7f7d92da74/41597_2019_115_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/096b96da7722/41597_2019_115_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/1b7c50199470/41597_2019_115_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/c861953c8b8d/41597_2019_115_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/743e60bfcf70/41597_2019_115_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/fb09c873330c/41597_2019_115_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/5c7f7d92da74/41597_2019_115_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/096b96da7722/41597_2019_115_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/1b7c50199470/41597_2019_115_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a263/6602924/c861953c8b8d/41597_2019_115_Fig6_HTML.jpg

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