Stochastic models to simulate paratuberculosis in dairy herds

Søren Saxmose Nielsen, M.F. Weber, Anne Margrethe Braad Kudahl, Clara Marcé, Nils Toft

    5 Citations (Scopus)
    15 Downloads (Pure)

    Abstract

    Stochastic simulation models are widely accepted as a means of assessing the
    impact of changes in daily management and the control of different diseases,
    such as paratuberculosis, in dairy herds. This paper summarises and discusses
    the assumptions of four stochastic simulation models and their use in the design
    of certification, surveillance, and control strategies for paratuberculosis in cattle
    herds. A detailed comparison is made between the Dutch JohneSSim and the
    Danish PTB-Simherd, using the same context of a set of control strategies in a
    typical Dutch/Danish herd. The conclusion is that while the models are
    somewhat different in their underlying principles and do put slightly different
    values on the different strategies, their overall findings are similar. Therefore,
    simulation models may be useful in planning paratuberculosis strategies in dairy
    herds, although as with all models caution is warranted when interpreting and
    generalising the results.
    Original languageEnglish
    JournalO I E Revue Scientifique et Technique
    Volume30
    Issue number2
    Pages (from-to)615-625
    Number of pages11
    ISSN0253-1933
    Publication statusPublished - Aug 2011

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