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|Appears in Collections:||Aquaculture Journal Articles|
|Peer Review Status:||Refereed|
|Title:||The effectiveness of fallowing strategies in disease control in salmon aquaculture assessed with an SIS model|
Murray, Alexander G
Atlantic salmon Diseases
Salmon industry Scotland
|Citation:||Werkman M, Green D, Murray AG & Turnbull J (2011) The effectiveness of fallowing strategies in disease control in salmon aquaculture assessed with an SIS model. Preventive Veterinary Medicine, 98 (1), pp. 64-73. http://www.sciencedirect.com/science/journal/01675877; https://doi.org/10.1016/j.prevetmed.2010.10.004|
|Abstract:||Salmon production is an important industry in Scotland, with an estimated retail value >£1 billion. However, this salmon industry can be threatened by the invasion and spread of diseases. To reduce this risk, the industry is divided into management areas that are physically separated from each other. Pathogens can spread between farms by local processes such as water movement or by long-distance processes such as live fish movements. Here, network modelling was used to investigate the importance of transmission routes at these two scales. We used different disease transmission rates (beta), where infected farms had the probability of 0.10, 0.25 or 0.50 per month to infect each contacted farm. Interacting farms were modelled in such a way that neighbours within a management area could infect each other, resulting in two contacts per farm per month. In addition, non-local transmission occurred at random. Salmon are input to marine sites where they are raised to harvest size, the site is then fallowed; in the model the effects of different fallowing strategies (synchronised, partial synchronised and unsynchronised fallowing at the management area level) on the emergence of diseases were investigated. Synchronised fallowing was highly effective at eradicating epidemics when transmission rate is low (beta = 0.10) even when long distance contacts were fairly common (up to 1.5 farm−1 month−1). However for higher transmission rates, long distance contacts have to be kept at much lower levels (0.15 contacts month−1 where beta = 0.25) when synchronised fallowing was applied. If fallowing was partially synchronised or unsynchronised then low rates of long-distance contact are required (0.75 or 0.15 farm−1 month−1) even if beta = 0.10. These results demonstrate the potential benefits of having epidemiologically isolated management areas and applying synchronised fallowing.|
|Rights:||Published in Preventive Veterinary Medicine by Elsevier. Preventive Veterinary Medicine, Volume 98, Issue 1, January 2011, pp. 64 - 73.; This is the peer reviewed version of this article.; NOTICE: this is the author’s version of a work that was accepted for publication in Preventive Veterinary Medicine. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Preventive Veterinary Medicine, VOL 98, ISSUE 1, (January 2011). DOI: 10.1016/j.prevetmed.2010.10.004|
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