Modeling pathogen dispersal in marine fish and shellfish

Cantrell, Danielle L. and Groner, Maya L. and Ben-Horin, Tal and Grant, Jon and Revie, Crawford W. (2020) Modeling pathogen dispersal in marine fish and shellfish. Trends in Parasitology, 36 (3). pp. 239-249. ISSN 1471-4922

[img] Text (Cantrell-etal-TiP-2020-Modeling-pathogen-dispersal-in-marine-fish-and-shellfish)
Cantrell_etal_TiP_2020_Modeling_pathogen_dispersal_in_marine_fish_and_shellfish.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 6 February 2021.
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo
Download (798kB) | Request a copy from the Strathclyde author

    Abstract

    In marine ecosystems, oceanographic processes often govern host contacts with infectious agents. Consequently, many approaches developed to quantify pathogen dispersal in terrestrial ecosystems have limited use in the marine context. Recent applications in marine disease modeling demonstrate that physical oceanographic models coupled with biological models of infectious agents can characterize dispersal networks of pathogens in marine ecosystems. Biophysical modeling has been used over the past two decades to model larval dispersion but has only recently been utilized in marine epidemiology. In this review, we describe how biophysical models function and how they can be used to measure connectivity of infectious agents between sites, test hypotheses regarding pathogen dispersal, and quantify patterns of pathogen spread, focusing on fish and shellfish pathogens.

    Creators(s): Cantrell, Danielle L., Groner, Maya L., Ben-Horin, Tal, Grant, Jon and Revie, Crawford W. ORCID logoORCID: https://orcid.org/0000-0002-5018-0340;
    Item type:Article
    ID code:72017
    Keywords:biophysical modeling, parasite dispersal, pathogen dispersal, Aquaculture. Fisheries. Angling, Electronic computers. Computer science, Parasitology, Infectious Diseases
    Subjects:Agriculture > Aquaculture. Fisheries. Angling
    Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:07 Apr 2020 16:03
    Last modified:08 Sep 2020 04:09
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/72017
    Export data:
    CORE (COnnecting REpositories)