Evidence map›Paper›PMID 32708816›Full record

ArticleInternational journal of environmental research and public health2020

Mapping the Potential Distribution of Major Tick Species in China.

Xin Yang, Zheng Gao, Tianli Zhou, Jian Zhang, Luqi Wang, Lingjun Xiao, Hongjuan Wu, Sen Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Mapping the risk distribution ofEmerging microbes & infections · 2022
    Article
  11. What do we know about the microbiome ofFrontiers in cellular and infection microbiology · 2022
    Review
  12. Complete mitogenomes and phylogenetic relationships ofFrontiers in veterinary science · 2022
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xin YangCollege of Environment Science and engineering, Huazhong University of Science and Technology, Wuhan 430070, China.
Zheng GaoCollege of Environment Science and engineering, Huazhong University of Science and Technology, Wuhan 430070, China.
Tianli ZhouSchool of Automation, Wuhan University of Technology, Wuhan 430070, China.
Jian ZhangSchool of Automation, Wuhan University of Technology, Wuhan 430070, China.
Luqi WangCollege of Environment Science and engineering, Huazhong University of Science and Technology, Wuhan 430070, China.
Lingjun XiaoCollege of Environment Science and engineering, Huazhong University of Science and Technology, Wuhan 430070, China.
Hongjuan WuCollege of Environment Science and engineering, Huazhong University of Science and Technology, Wuhan 430070, China.
Sen LiCollege of Environment Science and engineering, Huazhong University of Science and Technology, Wuhan 430070, China.ORCID 0000-0002-1177-7339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks are known as the vectors of various zoonotic diseases such as Lyme borreliosis and tick-borne encephalitis. Though their occurrences are increasingly reported in some parts of China, our understanding of the pattern and determinants of ticks' potential distribution over the country remain limited. In this study, we took advantage of the recently compiled spatial dataset of distribution and diversity of ticks in China, analyzed the environmental determinants of ten frequently reported tick species and mapped the spatial distribution of these species over the country using the MaxEnt model. We found that presence of urban fabric, cropland, and forest in a place are key determents of tick occurrence, suggesting ticks were likely inhabited close to where people live. Besides, precipitation in the driest month was found to have a relatively high contribution in mapping tick distribution. The model projected that theses ticks could be widely distributed in the Northwest, Central North, Northeast, and South China. Our results added new evidence on the potential distribution of a variety of major tick species in China and pinpointed areas with a high potential risk of tick bites and tick-borne diseases for raising public health awareness and prevention responses.

Indexed as

Tick-Borne DiseasesTicksAnimalsChinaenvironmental factorsmachine learningMaxEntpotential distributiontick

Identifiers

PMID32708816
PMCPMC7399889

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.