Determinants of highly pathogenic avian influenza spread during bird migration

Abstract Migratory waterfowl are central to the global spread of the Goose/Guangdong lineage of H5 highly pathogenic avian influenza (HPAI), yet the parameters and processes shaping their role remain poorly understood, with evidence scattered across studies focused on narrow sets of parameters. Here, we synthesized current knowledge to identify 43 parameters and developed a spatially explicit agent-based model of waterfowl migration to evaluate the influence of 28 of these parameters on nine HPAI outcomes. Our results show that migratory waterfowl contribute most to HPAI spread and risk under conditions of high bird-to-bird transmission rate, long infectious periods and greater aggregation of birds at stop-over sites. When aggregation level is held constant, lower overlap in migratory routes among individuals (‘spatial alignment’) further amplifies waterfowl contributions by extending infection maintenance in waterfowl population and the environment. These results suggest that a few viral parameters shape much of infection dynamics, but also that migration behaviour, via aggregation and spatial alignment, plays a comparably large role within our model. Viral traits strongly shaped infection prevalence in waterfowl and incursion risk to poultry, whereas migratory behaviour more strongly shaped outbreak timing, maintenance and spatial distribution. These findings underscore the importance of integrating waterfowl movement ecology into HPAI risk models and assessments.

Authors

Institutions

Publication Details

Journal
Royal Society Open Science
Published
2026-08-26
DOI
https://doi.org/10.1098/rsos.260182
Primary Topic
Influenza Virus Research Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of highly pathogenic avian influenza spread during bird migration

Bert Wuyts, Silke Bauer, Camille M. Montalcini, Thijs Kuiken
Royal Society Open Science
Influenza Virus Research Studies
article

Determinants of highly pathogenic avian influenza spread during bird migration

Bert Wuyts, Silke Bauer, Camille M. Montalcini, Thijs Kuiken
article en

Abstract

Abstract Migratory waterfowl are central to the global spread of the Goose/Guangdong lineage of H5 highly pathogenic avian influenza (HPAI), yet the parameters and processes shaping their role remain poorly understood, with evidence scattered across studies focused on narrow sets of parameters. Here, we synthesized current knowledge to identify 43 parameters and developed a spatially explicit agent-based model of waterfowl migration to evaluate the influence of 28 of these parameters on nine HPAI outcomes. Our results show that migratory waterfowl contribute most to HPAI spread and risk under conditions of high bird-to-bird transmission rate, long infectious periods and greater aggregation of birds at stop-over sites. When aggregation level is held constant, lower overlap in migratory routes among individuals (‘spatial alignment’) further amplifies waterfowl contributions by extending infection maintenance in waterfowl population and the environment. These results suggest that a few viral parameters shape much of infection dynamics, but also that migration behaviour, via aggregation and spatial alignment, plays a comparably large role within our model. Viral traits strongly shaped infection prevalence in waterfowl and incursion risk to poultry, whereas migratory behaviour more strongly shaped outbreak timing, maintenance and spatial distribution. These findings underscore the importance of integrating waterfowl movement ecology into HPAI risk models and assessments.

Royal Society Open ScienceVol. 13(8)
ETH Zurich (CH), SystemsX.ch (CH), École Polytechnique Fédérale de Lausanne (CH), King Abdullah University of Science and Technology (SA), Erasmus University Rotterdam (NL)
European Commission
Openalex Percentile: Top 39%
Influenza Virus Research 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.