The predictable HPAI H5 outbreaks in European wild birds

Highly pathogenic avian influenza (HPAI) H5 viruses have caused widespread mortality in wild birds and poultry, with increasing spillover risk into mammals. The recently dominant clade 2.3.4.4b has produced multiple epidemic waves, first driven by H5N8 and more recently by H5N1, which has spread more rapidly, infected a broader host range, and caused higher mortality. While earlier studies identified consistent roles of waterbird community composition in shaping HPAI outbreaks, it remains unclear whether these factors also apply to the currently circulating H5N1. We analyzed HPAI H5N1 outbreaks in European wild birds during the 2021/22 epidemic, examining the influence of waterbird communities and environmental variables, and compared these patterns with earlier epidemics, including H5N1 in 2005/06 and H5N8 in 2016/17 and 2020/21. Our results showed that waterbird abundance, species richness, and the abundance of key species were positively associated with disease occurrence, whereas phylogenetic diversity was negatively associated, suggesting greater interspecific transmission among closely related hosts. Models trained on earlier epidemics accurately predicted the H5N1 occurrence in 2021/22. These findings demonstrate consistent effects of waterbird community composition across multiple epidemics and highlight their values as predictors of HPAI risk. Integrating community metrics into surveillance and early-warning systems can strengthen our capacity to anticipate future outbreaks across clades and subtypes.

Authors

Institutions

Publication Details

Journal
Avian Research
Published
2025-10-22
DOI
https://doi.org/10.1016/j.avrs.2025.100311
Primary Topic
Animal Virus Infections Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The predictable HPAI H5 outbreaks in European wild birds

Hongliang Chai, Qiang Wu, Qiurong Xie, Shenglai Yin et al.
Avian Research
Animal Virus Infections Studies
article

The predictable HPAI H5 outbreaks in European wild birds

Hongliang Chai, Qiang Wu, Qiurong Xie, Shenglai Yin, Taej Mundkur, Zheng Y. X. Huang, WU Yi-ming
article en

Abstract

Highly pathogenic avian influenza (HPAI) H5 viruses have caused widespread mortality in wild birds and poultry, with increasing spillover risk into mammals. The recently dominant clade 2.3.4.4b has produced multiple epidemic waves, first driven by H5N8 and more recently by H5N1, which has spread more rapidly, infected a broader host range, and caused higher mortality. While earlier studies identified consistent roles of waterbird community composition in shaping HPAI outbreaks, it remains unclear whether these factors also apply to the currently circulating H5N1. We analyzed HPAI H5N1 outbreaks in European wild birds during the 2021/22 epidemic, examining the influence of waterbird communities and environmental variables, and compared these patterns with earlier epidemics, including H5N1 in 2005/06 and H5N8 in 2016/17 and 2020/21. Our results showed that waterbird abundance, species richness, and the abundance of key species were positively associated with disease occurrence, whereas phylogenetic diversity was negatively associated, suggesting greater interspecific transmission among closely related hosts. Models trained on earlier epidemics accurately predicted the H5N1 occurrence in 2021/22. These findings demonstrate consistent effects of waterbird community composition across multiple epidemics and highlight their values as predictors of HPAI risk. Integrating community metrics into surveillance and early-warning systems can strengthen our capacity to anticipate future outbreaks across clades and subtypes.

Avian ResearchVol. 16(4)
Nanjing Forestry University (CN), Wetlands International (NL), Northeast Forestry University (CN), University of Oklahoma (US)
Openalex Percentile: Top 65%
Animal Virus Infections Studies
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.