Displaying results 1 - 8 of 8
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A Comparison of Ambulatory Care and Emergency Department Encounters as Data Sources for Detection of Clusters of Lower Gastrointestinal Illness
Content Type: Abstract
We sought to compare ambulatory care (AC) and emergency department (ED) data for the detection of clusters of lower gastrointestinal illness, using AC and ED data and AC+ED data combined, from two geographically separate health plans participating… read more -
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 -
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 -
Telephone Triage Data for Detection of Influenza-like Illness
Content Type: Abstract
National surveillance is used to detect the emergence and spread of influenza virus variants and to monitor influenza-related morbidity and mortality. Nurse telephone triage (“call”) data may serve as a useful complement to… read more -
The SAS/SaTScan Macro Accessory for Cartography (SMAC) Package
Content Type: Abstract
SaTScan is a program often used for space-time cluster detection. In order to run SaTScan, the data must be in a pre-specified text format. Once the input files are in the correct format, the typical user opens SaTScan, chooses… read more -
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 -
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 -
Nurse Call Data for Detection of Influenza-Like Illness
Content Type: Abstract
Influenza affects millions of people and causes about 36,000 deaths in the United States each winter. Pandemics of influenza emerge at irregular intervals. National influenza surveillance is used to detect the emergence and spread of influenza virus… read more