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Social network analysis for poultry HPAI transmission

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Sun, X., Kung, N. Y. H., Gao, L., Liu, Y., Zhan, S., Qi, X., Wang, X., Dong, X., Jia, Z. and Morris, R. (2018) Social network analysis for poultry HPAI transmission. Transboundary and Emerging Diseases, 65 (6). pp. 1909-1919. ISSN 18651674 (ISSN)

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Article Link: http://doi.org/10.1111/tbed.12972


In this survey study, the networks among poultry farms and related poultry enterprises in two counties in China (Feixi County in Anhui Province and Beizhen city in Liaoning Province) were analysed and evaluated focusing on the connectivity of contacts, movements, and potential pathogen transmission. The Feixi County poultry production network exhibited greater connectivity, which incorporated approximately 94% of the farms interviewed in a major component (a set of connected farms not linked with each other), mainly due to linkages of backyard farms through local produce stores and individual agents, whilst the Beizhen City network was more fragmented owing to independent in-house operations (from breed, raise, to slaughter and process) of a few large companies, with multiple smaller components. A range of factors influencing the contacts/movements among farms (act as bridges) were identified in this study. Ability to predict the pathway with the network characteristics on the basis of the factors, such as entity type and geographic location, is useful for developing risk-based approaches for disease prevention, surveillance, early detection, and effective controlling. © 2018 Blackwell Verlag GmbH

Item Type:Article
Business groups:Biosecurity Queensland
Keywords:HPAI movement pattern poultry risk evaluation social network analysis
Subjects:Animal culture > Poultry
Veterinary medicine > Veterinary microbiology
Veterinary medicine > Veterinary bacteriology
Veterinary medicine > Veterinary pathology
Veterinary medicine > Diseases of special classes of animals > Avian
Live Archive:16 Jan 2019 06:47
Last Modified:03 Sep 2021 16:44

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