Displaying results 9 - 12 of 12
-
Multi-Method Comparison of Detecting Common Events of Public Health Interest: a Multi-Site, Multi-Stream Simulation Study
Content Type: Abstract
Existing statistical methods can perform well in detecting simulated bioterrorism events. However, these methods have not been well-evaluated for detection of the type of respiratory and gastrointestinal events of greatest… read more… _Detecting_Common_Events_Of_Public_Health_Interest_A_Multi-Site_Multi-Stream_Simulation_Study.pdf 6 views Submitted by … common events of public health interest: a multi-site, multi-stream simulation study Ken Kleinman1, Allyson … Common Events of Public Health Interest: a Multi-Site, Multi-Stream Simulation Study … -
in silico Surveillance: Highly detailed agent-based models for surveillance system evaluation and design
Content Type: Abstract
Modern public health surveillance systems have great potential for improving public health. However, evaluating the performance of surveillance systems is challenging because examples of baseline disease distribution in the population are limited to… read more… seeking behavior and a surveillance system for outpatient visits. The resulting in silico surveil- lance data contain … specified surveillance system create a data stream of ILI visits. Outbreaks of influenza are artificially inserted … -
Empirical/Asymptotic P-Values for Monte Carlo-Based Hypothesis Testing: An Application to Cluster Detection Using the Scan Statistic
Content Type: Abstract
SaTScan is a freely available software that uses the scan statistic to detect clusters in space, time or space-time. SaTScan uses Monte Carlo hypothesis testing in order to produce a p-value for the null hypothesis that no… read more… Martin Kulldorff, Ken Kleinman Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care OBJECTIVE Our goal was to increase the precision of the … -
Evaluating Outbreak-Detection Methods Using Simulations: Volume Under the Time-ROC Surface
Content Type: Abstract
There are many proposed methods of identifying outbreaks of disease in surveillance data. However, there is little agreement about appropriate ways to choose amongst them. One common basis for comparison is simulating outbreaks and adding the simu… read more… Allyson Abrams From the Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care OBJECTIVE We developed metrics for evaluating tools …