Back to Search Start Over

Lessons from sea louse and salmon epidemiology

Authors :
Mark A. Lewis
Sean C. Godwin
Brendan Connors
Ulrike E. Schlägel
Andrew W. Bateman
Crawford W. Revie
Luke A. Rogers
Maya L. Groner
L. Neil Frazer
Erin E. Rees
Martin Krkošek
Stephanie J. Peacock
Source :
Philosophical Transactions of the Royal Society B: Biological Sciences. 371:20150203
Publication Year :
2016
Publisher :
The Royal Society, 2016.

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.

Details

ISSN :
14712970 and 09628436
Volume :
371
Database :
OpenAIRE
Journal :
Philosophical Transactions of the Royal Society B: Biological Sciences
Accession number :
edsair.doi.dedup.....d73293c771d2a0abd60479589a5e3f6b
Full Text :
https://doi.org/10.1098/rstb.2015.0203