Spatiotemporal analysis of plague risk in Tibet: Multi-source data-driven ensemble model development and validation

Multi-model integration and spatiotemporal simulation revealed plague foci distribution and centroid evolution in Tibet, capturing human-climate impacts, providing a scientific basis for targeted prevention in high-risk areas.

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Publication Details

Journal
One Health
Published
2026-02-21
DOI
https://doi.org/10.1016/j.onehlt.2026.101354
Primary Topic
Yersinia bacterium, plague, ectoparasites research
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatiotemporal analysis of plague risk in Tibet: Multi-source data-driven ensemble model development and validation

Su Wu, Luo Guo, Changping Li, Zhan Lin et al.
One Health
Yersinia bacterium, plague, ectoparasites research
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Spatiotemporal analysis of plague risk in Tibet: Multi-source data-driven ensemble model development and validation

Su Wu, Luo Guo, Changping Li, Zhan Lin, Zhuang Cui, Xiaoyan Zhang
article en

Abstract

Multi-model integration and spatiotemporal simulation revealed plague foci distribution and centroid evolution in Tibet, capturing human-climate impacts, providing a scientific basis for targeted prevention in high-risk areas.

One HealthVol. 22
Tibet Autonomous Region People's Hospital (CN), Tianjin Medical University (CN), Tsinghua University (CN)
Climate action
Openalex Percentile: Top 45%
Yersinia bacterium, plague, ectoparasites research
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