Evidence map›Paper›PMID 42514661›Full record

ArticleVeterinary sciences2026

Diversity and Spatiotemporal Atlas of Ticks in the Beijing-Tianjin-Hebei Urban Agglomeration Based on the MaxEnt Model.

Lingling Chen, Wanying Gao, Yang Song, Zihao Huang, Jialing Long, Jiaqi Nie, Zengliang Wang, Shulei Jia

Abstract read
In one paragraph

Article in Veterinary sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Lingling ChenSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Wanying GaoInstitute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Yang SongChinese Center for Disease Control and Prevention, Beijing 102206, China.
Zihao HuangSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Jialing LongSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Jiaqi NieSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.
Zengliang WangInstitute of EcoHealth, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.
Shulei JiaSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin 300070, China.ORCID 0000-0003-2483-0300

Funding

the Youth Fund of the Natural Science Foundation of Tianjin 24JCQNJC00460
6 · The paper itself

Abstract

backgroundThis study aims to delineate the present and projected suitable habitats for four dominant tick species in the Beijing-Tianjin-Hebei (BTH) region, providing a spatial basis for targeted tick-borne disease surveillance.

methodsWe systematically reviewed the published literature and the Global Biodiversity Information Facility (GBIF) to compile tick occurrence records in the BTH region. A total of 167 geo-referenced occurrence records with verified coordinates were obtained for four dominant species:

resultsThe four dominant tick species showed distinct distribution patterns:

conclusionsIn this study, we identified current and future high-risk areas for four dominant tick species in the BTH region, providing a reproducible foundation for surveillance. Future projections should be interpreted with caution as they only account for climatic changes.

Indexed as

Beijing–Tianjin–Hebei (BTH) regionenvironmental factorsMaxEnt modelsuitable habitatticks and tick-borne diseases

Identifiers

PMID42514661
PMCPMC13431307

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