Detection of Outbreak Signals Using R

Description: 

The goal of adequate biosurveillance is to signal that an outbreak may be occurring and through subsequent work is confirmed or refuted. Such a system should be equally able to detect outbreaks of diseases of extremely low reporting frequency, or those with high seasonality. Methods of detecting increases in notifiable communicable diseases reported to the Missouri Department of Health and Senior Services (MDHSS) were based on quartile comparisons to 5-year historical disease reports for the report week and resulted in frequent detection of statistically significant increases that were, in fact, not indicative of disease outbreaks. Frequently generated alerts led to “alarm fatigue” in epidemiologists. Objective: Develop a statistically rigorous automated process for weekly communicable disease report analysis to improve the speed and accuracy of outbreak detection in Missouri.

Primary Topic Areas: 
Original Publication Year: 
2013
Event/Publication Date: 
December, 2013

August 22, 2018

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This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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