A modelling assessment of the impact of control measures on highly pathogenic avian influenza transmission in poultry in Great Britain.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 41490150.
- Also identified by DOI 10.1371/journal.pcbi.1013874 and PMC identifier 12810912.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Influenza in Birds
- Poultry
- Influenza A Virus, H5N1 Subtype
- Models, Biological
- Poultry Diseases