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Quantifying the spatial risk of Avian Influenza introduction into British poultry by wild birds.
Hill, Andrew; Gillings, Simon; Berriman, Alexander; Brouwer, Adam; Breed, Andrew C; Snow, Lucy; Ashton, Adam; Byrne, Charles; Irvine, Richard M.
Affiliation
  • Hill A; Animal and Plant Health Agency, New Haw, KT15 3NB, United Kingdom. a.a.hill@surrey.ac.uk.
  • Gillings S; University of Surrey, Guildford, UK. a.a.hill@surrey.ac.uk.
  • Berriman A; British Trust for Ornithology, Thetford, IP24 2PU, United Kingdom.
  • Brouwer A; Animal and Plant Health Agency, New Haw, KT15 3NB, United Kingdom.
  • Breed AC; Animal and Plant Health Agency, New Haw, KT15 3NB, United Kingdom.
  • Snow L; Animal and Plant Health Agency, New Haw, KT15 3NB, United Kingdom.
  • Ashton A; School of Veterinary Science, University of Queensland, Brisbane, Australia.
  • Byrne C; Epidemiology and One Health Section, Department of Agriculture, Canberra, Australia.
  • Irvine RM; Animal and Plant Health Agency, New Haw, KT15 3NB, United Kingdom.
Sci Rep ; 9(1): 19973, 2019 12 27.
Article in En | MEDLINE | ID: mdl-31882592
ABSTRACT
The transmission of pathogens across the interface between wildlife and livestock presents a challenge to the development of effective surveillance and control measures. Wild birds, especially waterbirds such as the Anseriformes and Charadriiformes are considered to be the natural hosts of Avian Influenza (AI), and are presumed to pose one of the most likely vectors for incursion of AI into European poultry flocks. We have developed a generic quantitative risk map, derived from the classical epidemiological risk equation, to describe the relative, spatial risk of disease incursion into poultry flocks via wild birds. We then assessed the risk for AI incursion into British flocks. The risk map suggests that the majority of AI incursion risk is highly clustered within certain areas of Britain, including in the east, the south west and the coastal north-west of England. The clustering of high risk areas concentrates total risk in a relatively small land area; the top 33% of cells contribute over 80% of total incursion risk. This suggests that targeted risk-based sampling in a relatively small geographical area could be a much more effective and cost-efficient approach than representative sampling. The generic nature of the risk map method, allows rapid updating and application to other diseases transmissible between wild birds and poultry.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Influenza A virus / Poultry Diseases / Birds / Influenza in Birds / Animals, Wild Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals Country/Region as subject: Europa Language: En Journal: Sci Rep Year: 2019 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Influenza A virus / Poultry Diseases / Birds / Influenza in Birds / Animals, Wild Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Animals Country/Region as subject: Europa Language: En Journal: Sci Rep Year: 2019 Type: Article Affiliation country: United kingdom