Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3729

Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: The potential for targeted surveillance of live fish movements in Scotland
Authors: Green, Darren
Werkman, Marleen
Munro, Lorna Ann
Contact Email: darren.green@stir.ac.uk
Keywords: Aquaculture
Graph
Network
Transmission
Issue Date: Jan-2012
Publisher: Wiley-Blackwell
Citation: Green D, Werkman M & Munro LA (2012) The potential for targeted surveillance of live fish movements in Scotland, Journal of Fish Diseases, 35 (1), pp. 29-37.
Abstract: The network structure of the movements of live fish in the Scottish aquaculture industry has recently been demonstrated for 2003. In this paper, we enlarge this analysis to a longer three-year period from 2002 to 2004, the new data allowing complete coverage of at least one production cycle. The resulting network contains slightly more sites than that for a single year, and is denser with more arcs (directed site-to-site connections) present, but otherwise features recognisable in the one-year network are still recognisable in the three-year network. Arc removal algorithms (a proxy for targeted surveillance) were identified that could successfully reduce the portion of the network reachable from a node (a proxy for potential epidemic size) by approximately one third by removing as few as four arcs. This results from the high centrality of particular nodes and arcs. A strong community structure was identified in the network, corresponding with species farmed but only weakly geographical, with a high proportion of arcs occurring between management areas and catchments.
Type: Journal Article
URI: http://hdl.handle.net/1893/3729
DOI Link: http://dx.doi.org/10.1111/j.1365-2761.2011.01321.x
Rights: The publisher does not allow this work to be made publicly available in this Repository. Therefore, this item has been embargoed. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Aquaculture
University of Stirling
Scottish Government - Enterprise, Environment & Digital - Marine Scotland

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