Displaying results 1 - 8 of 9
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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 Scan Statistic for Spatial Cluster Detection
Content Type: Abstract
This paper develops a new Bayesian method for cluster detection, the ìBayesian spatial scan statistic,î and compares this method to the standard (frequen-tist) scan statistic approach on the task of prospective disease surveillance.… tant statistical tools for cluster detection, and is com- monly used in the public health community for detec- … Further Information: Daniel B. Neill, neill@cs.cmu.edu www.cs.cmu.edu/~neill and www.autonlab.org Advances in Disease Surveillance 2006;1:55 … -
A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome
Content Type: Abstract
Automated syndromic surveillance systems often classify patients into syndromic categories based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identifying syndromic cases. Emergency Department (ED)… read more… a Random Forests Classifier. Gold Standard Classification com- prised majority vote of three physicians reading ED … -
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… (referred to as constitutional counts, CC) of people who come to EDs as a rough surrogate of ED flu cases. We had … et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 6464 in 2009. We trained a linear model … Health Threats Journal R Villamarı́n et al. 2011, 4:s57 www.eht-journal.org page 2/2 6565 … -
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… Further Information: Daniel B. Neill, neill@cs.cmu.edu www.cs.cmu.edu/~neill and www.autonlab.org Advances in Disease Surveillance 2007;2:60 mailto:neill@cs.cmu.edu http://www.cs.cmu.edu/%7Eneill A Multivariate Bayesian Scan … -
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 … -
Modeling Clinician Detection Time of a Disease Outbreak Due to Inhalational Anthrax
Content Type: Abstract
We developed a probabilistic model of how clinicians are expected to detect a disease outbreak due to an outdoor release of anthrax spores, when the clinicians only have access to traditional clinical information (e.g., no computer-based alerts). We… read more… of the National Syndromic Surveil- lance Conference [CD-ROM]. Boston, MA: Fleetwood Multimedia, Inc.; 2004. Advances … -
Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers
Content Type: Abstract
To determine whether preprocessing chief complaints before automatically classifying them into syndromic categories improves classification performance.… N. Dowling, MD, MS1, Debbie Travers, PhD, RN2, Gregory F. Coo- per, MD, PhD1, Wendy W. Chapman, PhD1 Department of …