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A Temporal Method for Outbreak Detection Using a Bayesian Network
Content Type: Abstract
Non-temporal Bayesian network outbreak detection methods only look at data from the most recent day. For example, PANDA-CDCA (PC) only looks at data from the last 24 hours to determine how likely an outbreak is occurring. PC… read more… data from the most recent day. For example, PANDA-CDCA (PC) only looks at data from the last 24 hours to determine how likely an outbreak is occurring. PC is a Bayesian network disease outbreak detection system … al. obtained such results when evaluating the ability of PC to detect a laboratory validated outbreak of influenza. … -
A Bayesian Network for Estimating and Predicting Epidemic Curves
Content Type: Abstract
This paper describes a Bayesian network model for estimating and predicting an epicurve. Furthermore, it presents results of an experiment testing the accuracy of the predictions.… Figure 1. A Bayesian network for predicting epicurves for all four counties from thermometer sales during the actual … tendency to develop a system for that County. However, we did not do this in our tests to avoid cyclic testing. Notice … 20 Day 25 Day 30 Day LA 73.7% 39.6% 17.4% Jefferson 59.6% 26.4% 11.8% Orange 60.0% 17.0% 35.7% Allegheny 75.9% 48.7% …