Displaying results 1 - 2 of 2
-
An Outbreak Detection Algorithm that Efficiently Performs Complete Bayesian Model Averaging Over All Possible Spatial Distributions of Disease
Content Type: Abstract
Many disease-outbreak detection algorithms, such as control chart methods, use frequentist statistical techniques. We describe a Bayesian algorithm that uses data D consisting of current day counts of some event (e.g., emergency department (ED)… read more… performs complete Bayesian Model Averaging (BMA) over all possible spatial distributions of disease, yet runs in … fficiently_Performs_Complete_Bayesian_Model_Averaging_Over_All_Possible_Spatial_Distributions_Of_Disease.pdf 5 views … Performs Complete Bayesian Model Averaging Over All Possible Spatial Distributions of Disease Yanna Shen1,2, … -
A Bayesian Algorithm for Detecting CDC Category A Outbreak Diseases from Emergency Department Chief Complaints
Content Type: Abstract
This paper describes a Bayesian algorithm for diagnosing the CDC Category A diseases, namely, anthrax, smallpox, tularemia, botulism and hemorrhagic fever, using emergency department chief complaints. The algorithm was evaluated on real data and on… read more… Bayesian algo- rithms, has been reported to diagnose all of the CDC Category A diseases [2]. This paper describes … for the detection of anthrax in a simu- lated outbreak due to a windborne-release of anthrax spores. The false … In future work, we plan to evaluate its ability to de- tect the other CDC Category A diseases. We also plan …