|Appears in Collections:||Aquaculture Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Seasonality in live fish movements and its effects on epidemic dynamics|
Murray, Alexander G
Munro, Lorna Ann
|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. https://doi.org/10.1016/j.aquaculture.2013.10.001|
|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.|
|Rights:||The 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.|
|Aquaculture 2014.pdf||Fulltext - Published Version||488.09 kB||Adobe PDF||Under Embargo until 3000-01-01 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.