A taxonomically harmonized global dataset of wild bird hosts for avian influenza virus surveillance

Wild birds are key natural reservoirs and play a central role in the global spread of avian influenza viruses (AIVs). However, the absence of a standardized global list of wild bird hosts has limited comprehensive AIV risk monitoring and assessment within the One Health framework. Here, we generate a taxonomically harmonized dataset of AIV wild bird hosts, derived from 23,358 viral isolates of wild bird origin reported in the GISAID EpiFlu<sup>TM</sup> database from 1973 to 2023. Host names were systematically extracted, validated, and harmonized to resolve reporting inconsistencies and unify taxonomy across records. The dataset comprises 394 wild bird species spanning 26 orders, with Anseriformes and Charadriiformes representing a substantial share of host diversity. By clarifying the global spectrum of wild bird hosts for AIVs, this dataset provides a foundation for host identification, phylogenetic annotation, and ecological trait-based analysis. Structured in machine-readable formats, it enables reproducible and large-scale, species-level studies spanning virology, epidemiology, and biodiversity.

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Publication Details

Journal
Scientific Data
Published
2025-12-19
DOI
https://doi.org/10.1038/s41597-025-06451-1
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A taxonomically harmonized global dataset of wild bird hosts for avian influenza virus surveillance

Weipan Lei, Honglei Sun, Yang Liu, Juan Pu et al.
Scientific Data
Influenza Virus Research Studies
article

A taxonomically harmonized global dataset of wild bird hosts for avian influenza virus surveillance

Weipan Lei, Honglei Sun, Yang Liu, Juan Pu, Lu Wang, Yipeng Sun, Yachang Cheng, Zhichao Li, Fanshu Du, Qiang Zhang, Jinhua Liu
article en

Abstract

Wild birds are key natural reservoirs and play a central role in the global spread of avian influenza viruses (AIVs). However, the absence of a standardized global list of wild bird hosts has limited comprehensive AIV risk monitoring and assessment within the One Health framework. Here, we generate a taxonomically harmonized dataset of AIV wild bird hosts, derived from 23,358 viral isolates of wild bird origin reported in the GISAID EpiFlu<sup>TM</sup> database from 1973 to 2023. Host names were systematically extracted, validated, and harmonized to resolve reporting inconsistencies and unify taxonomy across records. The dataset comprises 394 wild bird species spanning 26 orders, with Anseriformes and Charadriiformes representing a substantial share of host diversity. By clarifying the global spectrum of wild bird hosts for AIVs, this dataset provides a foundation for host identification, phylogenetic annotation, and ecological trait-based analysis. Structured in machine-readable formats, it enables reproducible and large-scale, species-level studies spanning virology, epidemiology, and biodiversity.

Scientific DataVol. 13(1)
Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Beijing Normal University (CN), Ministry of Agriculture and Rural Affairs (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Fujian Institute of Oceanography (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 47%
Influenza Virus Research Studies
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