Statistical Monitoring of Condemnations from Slaughterhouses
نویسندگان
چکیده
Methods This study focuses on the whole carcass condemnations (WCC) of cattle slaughtered in Switzerland between 2007 and 2012 (1). The monthly time series was retrospectively modelled using the function {hhh4} in the R {surveillance} package (2). The mean monthly incidence was decomposed additively into an auto-regressive component; and an endemic component multiplied by the offset to adjust for variation in the number of total animals slaughtered per month. The retrospective model was used to simulate a baseline series to which an outbreak was added at a random starting point ti. Outbreak sizes were randomly generated as Poisson with mean equal to k times (with k from 2 to 10) the standard deviation of the baseline count at ti (1000 simulations for each k). The improved Farrington algorithm (3) was applied for outbreak detection using the {faringtonFlexible} function:
منابع مشابه
Evaluation of Swiss slaughterhouse data for integration in a syndromic surveillance system
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