Comprehensive characterization of ecological features and spatiotemporal distribution patterns of ticks in Shandong Province, China (2021–2023)

This study represents the first comprehensive ecological assessment of ticks in Shandong province and provides the first dataset for risk stratification and targeted prevention strategies for tick-borne diseases. These findings highlight the need to prioritize surveillance in rural habitats, focus on sheep as sentinel hosts, target spring as a high-risk period, and incorporate meteorological factors into early warning and prevention strategies.

Authors

Institutions

Publication Details

Journal
Parasites & Vectors
Published
2025-11-12
DOI
https://doi.org/10.1186/s13071-025-07055-9
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive characterization of ecological features and spatiotemporal distribution patterns of ticks in Shandong Province, China (2021–2023)

Yingchun Yang, Tong Cai, Qintong Sun, Hao Yin et al.
Parasites & Vectors
Vector-borne infectious diseases
article

Comprehensive characterization of ecological features and spatiotemporal distribution patterns of ticks in Shandong Province, China (2021–2023)

Yingchun Yang, Tong Cai, Qintong Sun, Hao Yin, Yingnan Han, Chang Seok Han, Xinyue Cao, Hongmei Liu, Xuejun Wang, Yan Liu, Wenjie Liu
article en

Abstract

This study represents the first comprehensive ecological assessment of ticks in Shandong province and provides the first dataset for risk stratification and targeted prevention strategies for tick-borne diseases. These findings highlight the need to prioritize surveillance in rural habitats, focus on sheep as sentinel hosts, target spring as a high-risk period, and incorporate meteorological factors into early warning and prevention strategies.

Parasites & VectorsVol. 18(1)
Shandong First Medical University (CN), Shandong Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 64%
Vector-borne infectious diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.