title: Lessons from sea louse and salmon epidemiology.
abstract: 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.
authors.affiliation: 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.
authors.forename: Maya L
authors.identifier: http://orcid.org/0000-0002-3381-6415
authors.initials: ML
authors.lastname: Groner
authors.affiliation: Department of Ecology and Evolutionary Biology, University of Toronto, 25 Willcocks Street, Toronto, Ontario, Canada M5S 3B2.
authors.forename: Luke A
authors.initials: LA
authors.lastname: Rogers
authors.affiliation: 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.
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Bateman
authors.affiliation: 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.
authors.forename: Brendan M
authors.initials: BM
authors.lastname: Connors
authors.affiliation: 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.
authors.forename: L Neil
authors.initials: LN
authors.lastname: Frazer
authors.affiliation: Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6.
authors.forename: Sean C
authors.initials: SC
authors.lastname: Godwin
authors.affiliation: 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.
authors.forename: Martin
authors.initials: M
authors.lastname: Krkošek
authors.affiliation: 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.
authors.forename: Mark A
authors.initials: MA
authors.lastname: Lewis
authors.affiliation: Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2E9.
authors.forename: Stephanie J
authors.initials: SJ
authors.lastname: Peacock
authors.affiliation: 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.
authors.forename: Erin E
authors.initials: EE
authors.lastname: Rees
authors.affiliation: 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.
authors.forename: Crawford W
authors.initials: CW
authors.lastname: Revie
authors.affiliation: Department of Mathematical and Statistical Sciences, University of Alberta, Edmonton, Alberta, Canada T6G 2G1.
authors.forename: Ulrike E
authors.initials: UE
authors.lastname: Schlägel
mesh_terms: D000818:Animals; D033342:Copepoda / Q000502:physiology*; D004478:Ectoparasitic Infestations / Q000469:parasitology / Q000662:veterinary*; D005393:Fish Diseases / Q000469:parasitology*; D008954:Models, Biological; D012474:Salmon
keywords: Atlantic salmon; Pacific salmon; ecological modelling; emerging infectious disease; fish farm; marine disease