An open source environment for the statistical evaluation of outbreak detection methods.
We describe the design and initial steps to implementation of a computational framework for evaluating outbreak detection methods. The framework will include components for combining simulated and historical data to create artificial outbreaks and components that implement various outbreak detection algorithms. The first algorithms to be implemented are the three Cumulative Sums (cusum) methods described in the CDC Early Aberration Reporting System.
Lumley
Thomas
T
Department of Biostatistics, Seattle, Washington, USA.
Sebestyen
Krisztian
K
Lober
William B
WB
Painter
Ian
I
D000465:Algorithms; D004196:Disease Outbreaks; D006801:Humans; D015233:Models, Statistical; D011159:Population Surveillance / Q000379:methods*; D011381:Programming Languages; D040442:Public Health Informatics