Time to the first medical treatment of farmed salmon to control salmon lice, a survival analysis approach.
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1
Norwegian Veterinary Institute, Norway
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2
University of Oslo, Norway
The spread of salmon lice has long been and continues to be an increasing problem for the fish farming industry, causing economic and environmental problems. In this study we wished to increase the understanding of this problem. The main interest was analysing what factors that cause lice to appear and require fish to be treated against lice, and whether those factors can be controlled by fish farmers.
The modelling approach used in this study has been multiple Cox regression. This method is widely used in survival analyses. We analysed the hazard rates related to first bath treatments against salmon lice at the farms along the Norwegian coast, and used them to model the "survival" times, i.e. time till treatment.
The results showed that factors mostly addressing to the neighbor's situation (distances, neighbor's lice amount and the infection spread from them) are most significant for time till first bath treatment. Seawater temperature and amount of fish at the farm of interest also appeared to be significant in the analysis, but only when they were allowed to vary each month. We could also see that the lice situations are different in different parts of Norway, and vary from one year to the next.
Keywords:
statistics,
survival analysis,
Cox regression models,
salmon lice,
Salmon,
Fish Farming
Conference:
AquaEpi I - 2016, Oslo, Norway, 20 Sep - 22 Sep, 2016.
Presentation Type:
Oral
Topic:
Aquatic Animal Epidemiology
Citation:
Mogstad
E,
Kristoffersen
AB,
Jansen
PA and
Glad
IK
(2016). Time to the first medical treatment of farmed salmon to control salmon lice, a survival analysis approach..
Front. Vet. Sci.
Conference Abstract:
AquaEpi I - 2016.
doi: 10.3389/conf.FVETS.2016.02.00033
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Received:
29 May 2016;
Published Online:
14 Sep 2016.
*
Correspondence:
Mrs. Ekaterina Mogstad, Norwegian Veterinary Institute, Oslo, Norway, katja.jakobsen123@gmail.com