A modelling assessment of the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain

Davis, Christopher N. and Hill, Edward M. and Jewell, Chris P. and Rysava, Kristyna and Thompson, Robin N. and Tildesley, Michael J. (2026) A modelling assessment of the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain. PLoS Computational Biology, 22 (1): 1013874. ISSN 1553-734X

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Abstract

Since 2020, large-scale outbreaks of highly pathogenic avian influenza (HPAI) H5N1 in Great Britain have resulted in substantial poultry mortality and economic losses. Alongside the costs, the risk of circulation leading to a viral reassortment that causes zoonotic spillover raises additional concerns. However, the precise mechanisms driving transmission between poultry premises and the impact of potential control measures in Great Britain, such as vaccination, are not fully understood. We have developed a spatial transmission model for the spread of HPAI in poultry premises calibrated to infected premises data for the 2022–23 season using Markov chain Monte Carlo. Our results indicate that reducing the susceptibility of the premises surrounding an identified infected premises (for example, through enhanced biosecurity measures and/or vaccination) can substantially reduce the overall number of infected premises. Our findings highlight that enhanced control measures could limit the future impact of HPAI on the poultry industry and reduce the risk of broader health threats.

Item Type:
Journal Article
Journal or Publication Title:
PLoS Computational Biology
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2300/2303
Subjects:
?? ecologycellular and molecular neuroscienceecology, evolution, behavior and systematicsgeneticsmodelling and simulationcomputational theory and mathematicsmolecular biology ??
ID Code:
234877
Deposited By:
Deposited On:
19 Jan 2026 10:35
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Jan 2026 03:05