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Low pathogenic avian influenza exposure risk assessment in Australian commercial chicken farms

dc.contributor.authorScott, Angela B
dc.contributor.authorToribio, Jenny-Ann
dc.contributor.authorSingh, Mini
dc.contributor.authorGroves, Peter
dc.contributor.authorBarnes, Belinda
dc.contributor.authorGlass, Kathryn
dc.contributor.authorMoloney, Barbara
dc.contributor.authorBlack, Amanda
dc.contributor.authorHernandez-Jover, Marta
dc.date.accessioned2019-07-24T06:12:02Z
dc.date.available2019-07-24T06:12:02Z
dc.date.issued2018
dc.date.updated2019-03-31T07:21:28Z
dc.description.abstractThis study investigated the pathways of exposure to low pathogenic avian influenza (LPAI) virus among Australian commercial chicken farms, and estimated the likelihood of this exposure occurring using scenario trees and a stochastic modelling approach following the World Organization for Animal Health (OIE) methodology for risk assessment. Input values for the models were sourced from scientific literature and an on-farm survey conducted during 2015 and 2016 among Australian commercial chicken farms located in New South Wales (NSW) and Queensland. Outputs from the models revealed that the probability of LPAI virus exposure to the first domestic chicken in Australian commercial chicken farms from one wild bird at any point in time is extremely low. Across the five farm types (non-free range meat chicken, free range meat chicken, cage layer, barn layer and free range layer farms), free range layer farms had the highest probability of exposure (7.5 x 10-4; 5% and 95%, 5.7 x 10-4 – 0.001). The results indicate that the presence of a large number of wild birds on farm is required for exposure to occur across all farm types. The median probability of direct exposure was highest in free range farm types (5.6 x 10-4 and 1.6 x 10-4 for free range layer and free range meat chicken farms respectively) and indirect exposure was highest in non-free range farm types (2.7 x 10-4, 2.0 x 10-4 and 1.9 x 10-4 for non-free range meat chicken, cage layer and barn layer farms respectively). The probability of exposure was found to be lowest in summer for all farm types. Sensitivity analysis revealed that the proportion of waterfowl among wild birds on the farm, the presence of waterfowl in the range and feed storage areas, and the prevalence of LPAI in wild birds are the most influential parameters for the probability of Australian commercial chicken farms being exposed to AI virus. These results highlight the importance of ensuring good biosecurity on farms to minimise the risk of exposure to AI virus, and the importance of continuous surveillance of LPAI prevalence including subtypes in wild bird populations.en_AU
dc.description.sponsorshipThis study was funded by the Poultry Cooperative Research Centre (CRC) (Sub-project number 1.5.7) and by Woolworths Limited. The funders had no role in study design, data collection and analysis, or preparation of the manuscript.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2297-1769en_AU
dc.identifier.urihttp://hdl.handle.net/1885/164688
dc.language.isoen_AUen_AU
dc.provenanceCopyright © 2018 Scott, Toribio, Singh, Groves, Barnes, Glass, Moloney, Black and Hernandez-Jover. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_AU
dc.publisherFrontiers Research Foundationen_AU
dc.rightsCopyright © 2018 Scott, Toribio, Singh, Groves, Barnes, Glass, Moloney, Black and Hernandez-Jover.en_AU
dc.rights.licenseCreative Commons Attribution License (CC BY)en_AU
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceFrontiers in Veterinary Scienceen_AU
dc.titleLow pathogenic avian influenza exposure risk assessment in Australian commercial chicken farmsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage25en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationScott, Angela B , University of Sydneyen_AU
local.contributor.affiliationToribio, Jenny-Ann, University of Sydneyen_AU
local.contributor.affiliationSingh, Mini, Sydney School of Veterinary Science, Faculty of Scienceen_AU
local.contributor.affiliationGroves, Peter, University of Sydneyen_AU
local.contributor.affiliationBarnes, Belinda, Department of Agricultureen_AU
local.contributor.affiliationGlass, Kathryn, College of Health and Medicine, ANUen_AU
local.contributor.affiliationMoloney, Barbara, NSW Department of Primary Industriesen_AU
local.contributor.affiliationBlack , Amanda , New South Wales Department of Primary Industriesen_AU
local.contributor.affiliationHernandez-Jover, Marta, Charles Sturt Universityen_AU
local.contributor.authoruidGlass, Kathryn, u4053649en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor070107 - Farming Systems Researchen_AU
local.identifier.absfor070205 - Animal Protection (Pests and Pathogens)en_AU
local.identifier.absfor070704 - Veterinary Epidemiologyen_AU
local.identifier.absseo920109 - Infectious Diseasesen_AU
local.identifier.absseo830309 - Poultryen_AU
local.identifier.absseo830503 - Live Animalsen_AU
local.identifier.ariespublicationu4102339xPUB327en_AU
local.identifier.citationvolume5en_AU
local.identifier.doi10.3389/fvets.2018.00068en_AU
local.identifier.scopusID2-s2.0-85046871593
local.publisher.urlhttp://www.frontiersin.org/en_AU
local.type.statusPublished Versionen_AU

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