Yersinia pestis transmission risk associated with Himalayan marmots (Marmota himalayana) of the Qinghai-Tibet plateau

The Himalayan marmot is the primary plague (<i>Yersinia pestis</i>) reservoir on the Qinghai-Tibet Plateau, driving human transmission in high altitudes. Effective control requires predicting climate, environment, and human activity-driven marmot density changes and multi-dimensional risk assessment. This study used a random forest model to analyze these factors' impact on marmot density and employed Principal Component Analysis (PCA) to create a risk framework. Findings show climate remains the dominant driver of marmot density under current conservation policies. In risk assessment, host density and plague detection rate were primary risk sources. Among human factors, human density showed stronger risk correlation than other disturbance indicators. This provides a comprehensive, multi-factor risk assessment method for plateau plague control, improving zoonotic disease prevention systems.

Authors

Institutions

Publication Details

Journal
One Health
Published
2025-11-25
DOI
https://doi.org/10.1016/j.onehlt.2025.101287
Primary Topic
Yersinia bacterium, plague, ectoparasites research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Yersinia pestis transmission risk associated with Himalayan marmots (Marmota himalayana) of the Qinghai-Tibet plateau

Chunmin Li, Bin Fu, Dongsheng Ren, Shihao Li et al.
One Health
Yersinia bacterium, plague, ectoparasites research
article

Yersinia pestis transmission risk associated with Himalayan marmots (Marmota himalayana) of the Qinghai-Tibet plateau

Chunmin Li, Bin Fu, Dongsheng Ren, Shihao Li, Jinglei Ren, Haoqiang Ji, Xiaobo Liu, Xinyue Fang, Liang Lu, Yue Wu, Zihang Wang, Ying Liang
article en

Abstract

The Himalayan marmot is the primary plague (<i>Yersinia pestis</i>) reservoir on the Qinghai-Tibet Plateau, driving human transmission in high altitudes. Effective control requires predicting climate, environment, and human activity-driven marmot density changes and multi-dimensional risk assessment. This study used a random forest model to analyze these factors' impact on marmot density and employed Principal Component Analysis (PCA) to create a risk framework. Findings show climate remains the dominant driver of marmot density under current conservation policies. In risk assessment, host density and plague detection rate were primary risk sources. Among human factors, human density showed stronger risk correlation than other disturbance indicators. This provides a comprehensive, multi-factor risk assessment method for plateau plague control, improving zoonotic disease prevention systems.

One HealthVol. 21
Zhejiang Chinese Medical University (CN), Shandong University (CN), Jinan Maternity And Care Hospital (CN), Yunnan Institute of Parasitic Diseases (CN), National Institute for Communicable Disease Control and Prevention (CN)
Openalex Percentile: Top 61%
Yersinia bacterium, plague, ectoparasites research
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.

Yersinia pestis transmission risk associated with Himalayan marmots (Marmota himalayana) of the Qinghai-Tibet plateau — Chunmin Li, Bin Fu, et al. · One Health (2025) | TGRS Research Map | TGRS