Cristin-resultat-ID: 1044577
Sist endret: 17. desember 2013 14:51
NVI-rapporteringsår: 2013
Resultat
Vitenskapelig artikkel
2013

Space-Time Modelling of the Spread of Salmon Lice between and within Norwegian Marine Salmon Farms

Bidragsytere:
  • Magne Aldrin
  • Bård Storvik
  • Anja Bråthen Kristoffersen og
  • Peder A Jansen

Tidsskrift

PLOS ONE
ISSN 1932-6203
e-ISSN 1932-6203
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2013
Volum: 8
Hefte: 6
Open Access

Importkilder

Isi-ID: 000319966400046

Klassifisering

Emneord

Fisk

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Tittel

Space-Time Modelling of the Spread of Salmon Lice between and within Norwegian Marine Salmon Farms

Sammendrag

Parasitic salmon lice are potentially harmful to salmonid hosts and farm produced lice pose a threat to wild salmonids. To control salmon lice infections in Norwegian salmonid farming, numbers of lice are regularly counted and lice abundance is reported from all salmonid farms every month. We have developed a stochastic space-time model where monthly lice abundance is modelled simultaneously for all farms. The set of farms is regarded as a network where the degree of contact between farms depends on their seaway distance. The expected lice abundance at each farm is modelled as a function of i) lice abundance in previous months at the same farm, ii) at neighbourhood farms, and iii) other, unspecified sources. In addition, the model includes explanatory variables such as seawater temperature and farm-numbers of fish. The model gives insight into factors that affect salmon lice abundance and contributing sources of infection. New findings in this study were that 66% of the expected salmon lice abundance was attributed to infection within farms, 28% was attributed to infection from neighbourhood farms and 6% to non-specified sources of infection. Furthermore, we present the relative risk of infection between neighbourhood farms as a function of seaway distance, which can be viewed as a between farm transmission kernel for salmon lice. The present modelling framework lays the foundation for development of future scenario simulation tools for examining the spread and abundance of salmon lice on farmed salmonids under different control regimes.

Bidragsytere

Magne Tommy Aldrin

Bidragsyterens navn vises på dette resultatet som Magne Aldrin
  • Tilknyttet:
    Forfatter
    ved Matematisk institutt ved Universitetet i Oslo
  • Tilknyttet:
    Forfatter
    ved Statistisk analyse, maskinlæring og bildeanalyse SAMBA ved Norsk Regnesentral

Bård Storvik

  • Tilknyttet:
    Forfatter
    ved Statistisk analyse, maskinlæring og bildeanalyse SAMBA ved Norsk Regnesentral

Anja Bråthen Kristoffersen

  • Tilknyttet:
    Forfatter
    ved Epidemiologi ved Veterinærinstituttet
  • Tilknyttet:
    Forfatter
    ved Forskningsgruppen for biomedisinsk informatikk ved Universitetet i Oslo

Peder Andreas Jansen

Bidragsyterens navn vises på dette resultatet som Peder A Jansen
  • Tilknyttet:
    Forfatter
    ved Epidemiologi ved Veterinærinstituttet
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