A global dataset of spatiotemporal co-occurrence patterns of avian influenza virus-associated migratory birds

Migratory birds facilitate the cross-regional spread of pathogens such as avian influenza virus (AIV). Interspecies interactions among multiple migratory bird species within shared spatiotemporal habitats can substantially enhance pathogen transmission and evolution, thereby posing potential risks to public health and livestock safety. Recent advances in tracking technologies, such as GPS, combined with publicly accessible databases like Movebank, have enabled the reconstruction of avian migratory pathways. However, existing tracking data are largely collected from individual species, remain species-specific and are insufficient for characterizing interspecies contact during migration. By integrating available tracking data from 62 migratory bird species (comprising 3,944 individual records), this study constructed a co-occurrence dataset comprising 50 migratory bird species that exhibited spatial and temporal overlap at shared locations, with a daily temporal resolution and spatial resolution aligned with first-level administrative divisions. This dataset can facilitate the identification of potential hotspots for migratory bird-associated pathogen evolution, thereby providing data-driven support for the prevention and control of emerging infectious diseases.

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Publication Details

Journal
Scientific Data
Published
2026-02-03
DOI
https://doi.org/10.1038/s41597-026-06701-w
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.00

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article

A global dataset of spatiotemporal co-occurrence patterns of avian influenza virus-associated migratory birds

Guolin Wang, Yanhe Wang, Chen‐Long Lv, Feng Hong et al.
Scientific Data
Species Distribution and Climate Change
article

A global dataset of spatiotemporal co-occurrence patterns of avian influenza virus-associated migratory birds

Guolin Wang, Yanhe Wang, Chen‐Long Lv, Feng Hong, Sheng-Hong Lin, Long-Tao Chen, Yunbo Qiu, Tian Tang, Yufeng Yang, Li-Qun Fang, Yan Zhang, Yao Tian, Sheng Zhang, Qiang Xu, Qing-Jie Wang, Zi-Da Meng, Jin-Jin Chen, Yun Han, Xin-Jing Zhao, Jun Ma
article en

Abstract

Migratory birds facilitate the cross-regional spread of pathogens such as avian influenza virus (AIV). Interspecies interactions among multiple migratory bird species within shared spatiotemporal habitats can substantially enhance pathogen transmission and evolution, thereby posing potential risks to public health and livestock safety. Recent advances in tracking technologies, such as GPS, combined with publicly accessible databases like Movebank, have enabled the reconstruction of avian migratory pathways. However, existing tracking data are largely collected from individual species, remain species-specific and are insufficient for characterizing interspecies contact during migration. By integrating available tracking data from 62 migratory bird species (comprising 3,944 individual records), this study constructed a co-occurrence dataset comprising 50 migratory bird species that exhibited spatial and temporal overlap at shared locations, with a daily temporal resolution and spatial resolution aligned with first-level administrative divisions. This dataset can facilitate the identification of potential hotspots for migratory bird-associated pathogen evolution, thereby providing data-driven support for the prevention and control of emerging infectious diseases.

Scientific DataVol. 13(1)
Guiyang Medical University (CN), Anhui Medical University (CN), Academy of Military Medical Sciences (CN), 117th Hospital of People's Liberation Army (CN), Second Affiliated Hospital of Anhui Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, State Key Laboratory of Pathogen and Biosecurity, National Key Research and Development Program of China
Openalex Percentile: Top 67%
Species Distribution and Climate Change
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