A global dataset of key nodes in the migration networks of migratory birds potentially associated with influenza A virus transmission

Migratory birds play a significant role in the long-distance transmission of influenza A virus (IAV), posing potential threats to human health and the safety of livestock production. However, comprehensive datasets on the migration networks of IAV-associated migratory birds remain scarce, thereby hindering the assessment of virus transmission risks and the formulation of effective prevention and control strategies. In this study, we developed a comprehensive dataset by integrating literature-based data and Movebank tracking records, focusing on key nodes within the migration networks of migratory birds associated with IAV. The dataset covers 10,088 migration route records for 101 species of migratory birds relevant to IAV. Using ArcGIS and Gephi tools, we calculated the betweenness centrality values for each node in the migration network to quantify their importance within the network and identify key nodes. This dataset will serve as a valuable resource for analyzing migratory bird networks, assessing the risks of IAV transmission, and developing ecological conservation strategies.

候鸟在甲型流感病毒（IAV）的远距离传播中发挥着重要作用，对人类健康和畜牧生产安全构成潜在威胁。然而，关于IAV相关候鸟迁徙网络的综合数据集仍然匮乏，这阻碍了病毒传播风险的评估以及有效防控策略的制定。本研究通过整合文献数据与Movebank追踪记录，构建了一个综合数据集，重点关注IAV相关候鸟迁徙网络中的关键节点。该数据集涵盖了101种IAV相关候鸟的10,088条迁徙路线记录。借助ArcGIS与Gephi工具，我们计算了迁徙网络中每个节点的介数中心性（betweenness centrality）值，以量化其在网络中的重要性并识别关键节点。该数据集将作为宝贵资源，用于分析候鸟网络、评估IAV传播风险以及制定生态保护策略。