Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Volume 371, Issue 1689, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rstb.2015.0203
Keywords
Atlantic salmon; ecological modelling; emerging infectious disease; fish farm; marine disease; Pacific salmon
Categories
Funding
- CERC in aquatic epidemiology
- Hakai Doctoral Scholarship
- NSERC CGS
- Watershed Watch Salmon Society
- NSERC IPS
- NSERC Vanier CGS
- NSERC PDF
- CRC
- NSERC Discovery Grant
- Killam Foundation
- NSERC Accelerator Grant
- Directorate For Geosciences
- Division Of Ocean Sciences [1215977] Funding Source: National Science Foundation
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Effective disease management can benefit from mathematical models that identify drivers of epidemiological change and guide decision-making. This is well illustrated in the host-parasite system of sea lice and salmon, which has been modelled extensively due to the economic costs associated with sea louse infections on salmon farms and the conservation concerns associated with sea louse infections on wild salmon. Consequently, a rich modelling literature devoted to sea louse and salmon epidemiology has been developed. We provide a synthesis of the mathematical and statistical models that have been used to study the epidemiology of sea lice and salmon. These studies span both conceptual and tactical models to quantify the effects of infections on host populations and communities, describe and predict patterns of transmission and dispersal, and guide evidence-based management of wild and farmed salmon. As aquaculture production continues to increase, advances made in modelling sea louse and salmon epidemiology should inform the sustainable management of marine resources.
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