Selected article for: "rare novel event and situational awareness"
Author: Escuyer, Kay L.; Waters, Christine L.; Gowie, Donna L.; Maxted, Angie M.; Farrell, Gregory M.; Fuschino, Meghan E.; St. George, Kirsten
Title: The assessment of data sources for influenza virologic surveillance in New York State
  • Document date: 2016_11_14
    • ID: 1qq9osfx_18
    Snippet: The goal for NYS is to obtain recommended sample sizes for the state population of approximately 20 million, which would ensure optimal detection thresholds with ≥95% confidence and ≤5% margin of error (MOE), for both situational awareness and rare/novel event detection (Table 2 ). Computer modeling software for situational awareness with Calculator A establishes ideal sample sizes using unscreened MA-ILI specimens. For detection of a rare/no.....
    Document: The goal for NYS is to obtain recommended sample sizes for the state population of approximately 20 million, which would ensure optimal detection thresholds with ≥95% confidence and ≤5% margin of error (MOE), for both situational awareness and rare/novel event detection (Table 2 ). Computer modeling software for situational awareness with Calculator A establishes ideal sample sizes using unscreened MA-ILI specimens. For detection of a rare/novel event, the current Calculator B revised late 2015 uses only Flu+ specimens tested at state PHLs.

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