Lessons from sea louse and salmon epidemiology.

Autor:	Groner ML; Department of Health Management, Centre for Veterinary and Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, Canada C1A 4P3 maya.groner@gmail.com., Rogers LA; Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, Ontario, Canada M5S 3B2., Bateman AW; Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, Ontario, Canada M5S 3B2 Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9 Salmon Coast Field Station, Simoom Sound, British Columbia, Canada V0P 1S0., Connors BM; Salmon Coast Field Station, Simoom Sound, British Columbia, Canada V0P 1S0 ESSA Technologies Ltd, Vancouver, British Columbia, Canada V6H 3H4 School of Resource and Environmental Management, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6., Frazer LN; Salmon Coast Field Station, Simoom Sound, British Columbia, Canada V0P 1S0 Department of Geology and Geophysics, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA., Godwin SC; Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6., Krkošek M; Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, Ontario, Canada M5S 3B2 Salmon Coast Field Station, Simoom Sound, British Columbia, Canada V0P 1S0., Lewis MA; Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9 Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2G1., Peacock SJ; Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9., Rees EE; Department of Health Management, Centre for Veterinary and Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, Canada C1A 4P3., Revie CW; Department of Health Management, Centre for Veterinary and Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, 550 University Avenue, Charlottetown, Prince Edward Island, Canada C1A 4P3., Schlägel UE; Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2G1.
Jazyk:	angličtina
Zdroj:	Philosophical transactions of the Royal Society of London. Series B, Biological sciences [Philos Trans R Soc Lond B Biol Sci] 2016 Mar 05; Vol. 371 (1689).
DOI:	10.1098/rstb.2015.0203
Abstrakt:	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. (© 2016 The Author(s).)
Databáze:	MEDLINE
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