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  • Breaking beta: deconstructing the parasite transmission function

    Author(s)
    McCallum, Hamish
    Fenton, Andy
    Hudson, Peter J
    Lee, Brian
    Levick, Beth
    Norman, Rachel
    Perkins, Sarah E
    Viney, Mark
    Wilson, Anthony J
    Lello, Joanne
    Griffith University Author(s)
    McCallum, Hamish
    Year published
    2017
    Metadata
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    Abstract
    Transmission is a fundamental step in the life cycle of every parasite but it is also one of the most challenging processes to model and quantify. In most host–parasite models, the transmission process is encapsulated by a single parameter β. Many different biological processes and interactions, acting on both hosts and infectious organisms, are subsumed in this single term. There are, however, at least two undesirable consequences of this high level of abstraction. First, nonlinearities and heterogeneities that can be critical to the dynamic behaviour of infections are poorly represented; second, estimating the transmission ...
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    Transmission is a fundamental step in the life cycle of every parasite but it is also one of the most challenging processes to model and quantify. In most host–parasite models, the transmission process is encapsulated by a single parameter β. Many different biological processes and interactions, acting on both hosts and infectious organisms, are subsumed in this single term. There are, however, at least two undesirable consequences of this high level of abstraction. First, nonlinearities and heterogeneities that can be critical to the dynamic behaviour of infections are poorly represented; second, estimating the transmission coefficient β from field data is often very difficult. In this paper, we present a conceptual model, which breaks the transmission process into its component parts. This deconstruction enables us to identify circumstances that generate nonlinearities in transmission, with potential implications for emergent transmission behaviour at individual and population scales. Such behaviour cannot be explained by the traditional linear transmission frameworks. The deconstruction also provides a clearer link to the empirical estimation of key components of transmission and enables the construction of flexible models that produce a unified understanding of the spread of both micro- and macro-parasite infectious disease agents.
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    Journal Title
    Philosophical Transactions of The Royal Society B
    Volume
    372
    Issue
    1719
    DOI
    https://doi.org/10.1098/rstb.2016.0084
    Subject
    Biological sciences
    Other biological sciences not elsewhere classified
    Biomedical and clinical sciences
    Publication URI
    http://hdl.handle.net/10072/342713
    Collection
    • Journal articles

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