Displaying results 1 - 3 of 3
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Value of evidence from syndromic surveillance with delayed reporting
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 … -
Is There a Need for One Health Surveillance (OHS)?
Content Type: Abstract
As interest in One Health (OH) continues to grow, alternative surveillance infrastructure may be needed to support it. Since most population health surveillance is domain specific; as opposed to OH which crosses multiple domains, changes to… read more… to grow, alternative surveillance infrastructure may be needed to support it. Since most population health … multiple domains, changes to surveillance infrastructure may be required to optimize OH practice. For change to occur … to grow, alternative surveillance infrastructure may be needed to support it. Since most population health … -
Outbreak Prediction: Aggregating Evidence Through Multivariate Surveillance
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 …