Data-fed, needs-driven: designing analytical workflows fit for disease surveillance

HIGHLIGHTS

SUMMARY

    The continuous and systematic collection and analysis of health-related data-a practice coined syndromic surveillance (SyS)-has gained momentum in public health since the turn of the century, buoyed by the putative benefit that SyS will allow detection of disease outbreaks or other public health trends earlier than traditional surveillance which relies on laboratory test results or clinical diagnoses. "Big data analytics" is now recognized as a term referring not to the size of the data handled, but to the development in technologies needed to extract information from raw data, in an evolving . . .

     

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