Lessons from sea louse and salmon epidemiology

Maya L. Groner, Luke A. Rogers, Andrew W. Bateman, Brendan M. Connors, L. Neil Frazer, Sean C. Godwin, Martin Krkošek, Mark A. Lewis, Stephanie J. Peacock, Erin E. Rees, Crawford W. Revie, Ulrike E. Schlägel

Research output: Contribution to journalReview articlepeer-review

45 Citations (Scopus)

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.

Original languageEnglish
Article number20150203
JournalPhilosophical Transactions of the Royal Society B: Biological Sciences
Volume371
Issue number1689
DOIs
Publication statusPublished - Mar 5 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 The Author(s) Published by the Royal Society. All rights reserved.

ASJC Scopus Subject Areas

  • General Biochemistry,Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

PubMed: MeSH publication types

  • Journal Article
  • Research Support, Non-U.S. Gov't
  • Review

Fingerprint

Dive into the research topics of 'Lessons from sea louse and salmon epidemiology'. Together they form a unique fingerprint.

Cite this