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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… an- thrax outbreaks described in [1]. Each outbreak con- sisted of a simulated time series of patient cases that each presented to an ED with a respiratory chief com- plaint and a home zip code. The probability that a case … in Artificial Intelli- gence (2004) 94-104. [2] http://www.dbmi.pitt.edu/panda/papers/Shen/ISDS07.pdf Advances in … -
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… of Biosur- veillance (Elsevier, 2006). [2] http://www.bt.cdc.gov/agent/agentlist-category.asp [3] Cooper GF, … Further Information: Gregory Cooper, gfc@cbmi.pitt.edu, www.cbmi.pitt.edu/panda Advances in Disease Surveillance …