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Generally these data sets come with spatiotemporal attributes and, therefore, could potentially be integrated with the seasonal ILI data; this should enhance the detection process (in terms of timeliness, specificity and sensitivity) of pandemic influenza.
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However, according to the algorithm used, the timeliness and specificity vary.
Each method only captures a portion of infections within the community with different timeliness and specificity.
Implementing our detection algorithm using these data attributes will further improve the timeliness and specificity of the detection of pandemic influenza.
What is the best approach to identify the BRCA1 mutation carriers among young women with newly diagnosed breast cancer, in terms of timeliness, sensitivity, specificity?
Most studies compared drug sales data to reference surveillance data using correlation measurements or indicators of outbreak detection performance (sensitivity, specificity, timeliness of the detection).
These performance criteria generally include the sensitivity, specificity, timeliness, representativeness, simplicity, flexibility, and stakeholder ownership of the system (CDC 2001; Drewe et al. 2012).
Ivanov, et al. [ 6] use the Exponentially Weighted Moving Average smoother to measure timeliness, sensitivity, and specificity of free-text chief complaints (information describing patient's status on the ED visit).
Such data has never been available with such specificity and timeliness.
Not all algorithms perform equally well in terms of sensitivity, specificity, and timeliness in detecting disease outbreaks and the evidence describing the relative performance of different methods is fragmented and mainly qualitative.
A recent study in Hong Kong compared different short-term models in terms of their sensitivity, specificity and timeliness to detecting influenza outbreaks based on the same clinical surveillance data as we used in this study [28].
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