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  • Contact networks in a wild Tasmanian devil (Sarcophilus harrisii) population: using Social Network Analysis to reveal seasonal variability in social behaviour and its implications for transmission of devil facial tumour disease

    Author(s)
    Hamede, Rodrigo K
    Bashford, Jim
    McCallum, Hamish
    Jones, Menna
    Griffith University Author(s)
    McCallum, Hamish
    Year published
    2009
    Metadata
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    Abstract
    The structure of the contact network between individuals has a profound effect on the transmission of infectious disease. Using a novel technology - proximity sensing radio collars - we described the contact network in a population of Tasmanian devils. This largest surviving marsupial carnivore is threatened by a novel infectious cancer. All devils were connected in a single giant component, which would permit disease to spread throughout the network from any single infected individual. Unlike the contact networks for many human diseases, the degree distribution was not highly aggregated. Nevertheless, the empirically derived ...
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    The structure of the contact network between individuals has a profound effect on the transmission of infectious disease. Using a novel technology - proximity sensing radio collars - we described the contact network in a population of Tasmanian devils. This largest surviving marsupial carnivore is threatened by a novel infectious cancer. All devils were connected in a single giant component, which would permit disease to spread throughout the network from any single infected individual. Unlike the contact networks for many human diseases, the degree distribution was not highly aggregated. Nevertheless, the empirically derived networks differed from random networks. Contact networks differed between the mating and non-mating seasons, with more extended male-female associations in the mating season and a greater frequency of female-female associations outside the mating season. Our results suggest that there is limited potential to control the disease by targeting highly connected age or sex classes.
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    Journal Title
    Ecology Letters
    Volume
    12
    Issue
    11
    DOI
    https://doi.org/10.1111/j.1461-0248.2009.01370.x
    Subject
    Population Ecology
    Conservation and Biodiversity
    Ecological Applications
    Ecology
    Evolutionary Biology
    Publication URI
    http://hdl.handle.net/10072/33902
    Collection
    • Journal articles

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