Displaying results 9 - 14 of 14
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A Generalization of the AMOC Curve
Content Type: Abstract
The Activity Monitoring Operating Characteristic (AMOC) curve is a useful and popular method for assessing the performance of algorithms that detect outbreaks of disease [1]. As it is typically applied in biosurveillance, the AMOC curve plots the… read more -
A Multivariate Bayesian Scan Statistic
Content Type: Abstract
This paper develops a new method for multivariate spatial cluster detection, the ìmultivariate Bayesian scan statisticî (MBSS). MBSS combines information from multiple data streams in a Bayesian framework, enabling faster and more accurate… read more -
Detection of Patients with Influenza Syndrome Using Machine-Learning Models Learned from Emergency Department Reports
Content Type: Abstract
Early detection of influenza outbreaks is critical to public health officials. Case detection is the foundation for outbreak detection. Previous study by Elkin el al. demonstrated that using individual emergency department (ED) reports can better… read more -
Estimating the incidence of influenza cases that present to emergency departments
Content Type: Abstract
Our laboratory previously established the value of over-the-counter (OTC) sales data for the early detection of disease outbreaks. We found that thermometer sales (TS) increased significantly and early during influenza (flu) season.… read more -
A Method for Detecting and Characterizing Multiple Outbreaks of Infectious Diseases
Content Type: Abstract
We describe an automated system that can detect multiple outbreaks of infectious diseases from emergency department reports. A case detection system obtains data from electronic medical records, extracts features using natural language… read more -
Detecting Overlapping Outbreaks of Influenza
Content Type: Abstract
Influenza is a contagious disease that causes epidemics in many parts of the world. The World Health Organization estimates that influenza causes three to five million severe illnesses each year and 250,000-500,000 deaths. Predicting and… read more