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Displaying results 1 - 2 of 2
  • Content Type: Abstract

    Taking into account reporting delays in surveillance systems is not methodologically trivial. Consequently, most use the date of the reception of data, rather than the (often unknown) date of the health event itself. The main drawback of this… read more
    … data from multiple data streams (most health events may leave a “signature” in multiple data sources) may be performed in a Bayesian framework where the result is … data from multiple data streams (most health events may leave a “signature” in multiple data sources) may be …
  • Content Type: Abstract

    Production animal health syndromic surveillance (PAHSyS) data are varied: there may be standardized ratios, proportions, counts of adverse events, categorical data and even qualitative ‘intelligence’ that may need to be aggregated up a hierarchy.… read more
    … syndromic surveillance (PAHSyS) data are varied: there may be standardized ratios, proportions, counts of adverse … categorical data and even qualitative ‘intelligence’ that may need to be aggregated up a hierarchy. PAHSyS provides … syndromic surveillance (PAHSyS) data are varied: there may be standardized ratios, proportions, counts of adverse …