Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory data.

摘要: Timely detection of clusters localized influenza activity in excess background seasonal levels could improve situational awareness for public health officials and systems. However, no single data type may capture with optimal sensitivity, specificity, timeliness, it is unknown which types be most useful surveillance. We compared the performance ten electronic clinical timely throughout 2007/08 season northern California. Kaiser Permanente Northern California generated zip code-specific daily episode counts for: influenza-like illness (ILI) diagnoses ambulatory care (AC) emergency departments (ED), both without regard to fever; hospital admissions discharges pneumonia influenza; antiviral drugs dispensed (Rx); laboratory tests ordered (Tests); positive A (FluA) B (FluB). Four credible events were identified. Prospective surveillance was mimicked within each stream using a space-time permutation scan statistic, analyzing only available as day, evaluate ability timeliness detect events. AC fever Tests signaled during all four and, along Rx, had signals. FluA less ED, hospitalizations, FluB did not signal reliably. When included ILI definition, signals either delayed or missed. Although limited one plan, location, year, these results can inform choice streams influenza.