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The online services as a special 'Alert' algorithm for Ground Level Enhancements (GLEs) and some models created to analyze aspects of GLEs as the neutron monitor Basic Anisotropic Neutron Ground Level Enhancement (BANGLE) model and the Forbush Decreases (FORD) model as well, are presented.
The ALERT algorithm can be easily operationalized.
The main outcome is the percentage of prospective seasonal influenza cases identified by the ALERT algorithm.
Ultimately, the power of the ALERT algorithm lies in its simplicity, flexibility, and generalizability.
Detailed instructions on how to use the ALERT algorithm are found in the Supplementary Data.
In 1 year of accrual, the alert algorithm identified 1,773 eligible patients for screening.
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The panel would select an outcome measure and explore how to reduce the number of warnings, in order to design more specific alert algorithms.
In addition to examining alerts by basin, the alerting algorithm was applied to individual plant data.
Regression/Exponentially Weighted Moving Average (EWMA) was used as the VA ESSENCE alerting algorithm.
The alerting algorithm methodology for ESSENCE syndromic surveillance data has been described previously [ 23, 24].
Data processing was performed using SAS version 9.1 and an Excel-based 'Alerting Algorithms Tool' developed and published by Dr. Howard Burkom (3).
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