Displaying results 1 - 7 of 7
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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… in highly detailed synthetic populations can provide unlimited realistic baseline data. Objective To create, … in highly detailed synthetic populations can provide unlimited realistic baseline data. Methods Dynamic social … in highly detailed synthetic populations can provide unlimited realistic baseline data. Objective To create, … -
in silico Surveillance: Using Detailed Computer Simulations to Develop and Evaluate Outbreak Detection
Content Type: Abstract
Developing and evaluating outbreak detection is challenging for many reasons. A central difficulty is that the data the detection algorithms are “trained” on are often relatively short historical samples and thus do not represent the full… read more… algorithms in noisy surveillance data is complicated by a lack of realistic noise, meaning the surveillance data … algorithms in noisy surveillance data is complicated by a lack of realistic noise, meaning the surveillance data … digital representa- tions, of every person. These agents visit specific loca- tions throughout the area of study and … -
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… that rely on SaTScan for surveillance. In addition, the lack of graphical output, such as a map of the areas … that rely on SaTScan for surveillance. In addition, the lack of graphical output, such as a map of the areas … that rely on SaTScan for surveillance. In addition, the lack of graphical output, such as a map of the areas … -
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… omitted if they occurred within 6 weeks of a previous visit to the same setting for LGI. Generalized linear mixed … -
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… [2] Henry JV, Magruder S, Snyder M. Comparison of office visit and nurse advice hotline data for syndromic … -
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… ] Henry JV, Magruder S, Snyder M. Comparison of office visit d nurse advice hotline data for syndromic … -
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… curve resulted in much bigger values as a result of its lack of a timeliness component. CONCLUSIONS Any of the …