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Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Seasonality in live fish movements and its effects on epidemic dynamics
Author(s): Werkman, Marleen
Murray, Alexander G
Munro, Lorna Ann
Turnbull, James
Green, Darren
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Keywords: Networks
Disease transmission
Control strategies
Simulation model
Issue Date: Jan-2014
Date Deposited: 7-Jan-2014
Citation: Werkman M, Murray AG, Munro LA, Turnbull J & Green D (2014) Seasonality in live fish movements and its effects on epidemic dynamics. Aquaculture, 418-419, pp. 72-78.
Abstract: Live fish movements between salmon farms risk spreading pathogens, and movements between freshwater farms (FW-FW) or from freshwater to seawater (FW-SW) show clear seasonality. In this study, we quantify the effects of seasonality of live fish movements on epidemic dynamics, using a network model populated with data from live fish movements between Scottish salmon farms from 2002 to 2004. We used three types of networks: A) timing and pair-wise movements between farms were as observed; B) as network A, but with a random reordering of FW-FW and FW-SW movements; and C) number of movements were kept the same as in the data, but connection between nodes was random. We compared the time-course of simulated epidemics in a stochastic model for all three networks. We showed that seasonality had the strongest effect in networks B and C, especially when local transmission was high, and this effect was stronger in SW farms compared with FW farms.
DOI Link: 10.1016/j.aquaculture.2013.10.001
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