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dc.contributor.authorWerkman, Marleen-
dc.contributor.authorMurray, Alexander G-
dc.contributor.authorMunro, Lorna Ann-
dc.contributor.authorTurnbull, James-
dc.contributor.authorGreen, Darren-
dc.description.abstractLive 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.en_UK
dc.relationWerkman 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.-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. 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.-
dc.subjectDisease transmissionen_UK
dc.subjectControl strategiesen_UK
dc.subjectSimulation modelen_UK
dc.titleSeasonality in live fish movements and its effects on epidemic dynamicsen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.type.statusPublisher version (final published refereed version)-
dc.contributor.affiliationUniversity of Stirling-
dc.contributor.affiliationScottish Government - Enterprise, Environment & Digital - Marine Scotland-
dc.contributor.affiliationScottish Government - Enterprise, Environment & Digital - Marine Scotland-
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