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The potential for targeted surveillance of live fish movements in Scotland
Author(s) -
Green D M,
Werkman M,
Munro L A
Publication year - 2012
Publication title -
journal of fish diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 85
eISSN - 1365-2761
pISSN - 0140-7775
DOI - 10.1111/j.1365-2761.2011.01321.x
Subject(s) - centrality , fish <actinopterygii> , fishery , proxy (statistics) , biology , ecology , computer science , statistics , mathematics , machine learning
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 3‐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 recognizable in the 1‐year network are still recognizable in the 3‐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.