Displaying results 1 - 6 of 6
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Increase in Pneumonia Cases as an Early Indicator of Severe and Pandemic Influenza Outbreak
Content Type: Abstract
Objective To enable the early detection of pandemic influenza, we have designed a system to differentiate between severe and mild influenza outbreaks. Historic information about previous pandemics suggested the evaluation of two… read more… and can be diagnosed immediately in a physician office visit, while a confirmed influenza diagnosis requires a … and can be diagnosed immediately in a physician office visit, while a confirmed influenza diagnosis requires a … and can be diagnosed immediately in a physician office visit, while a confirmed influenza diagnosis requires a … -
Data-Adaptive Multivariate Control Charts for Routine Health Monitoring
Content Type: Abstract
This paper investigates the use of data-adaptive multivariate statistical process control (MSPC) charts for outbreak detection using real-world syndromic data. The widely used EARS [1] methods and other adaptive implementations assume implicitly… read more… assume implicitly that nonsta-tionarity and/or the lack of historic data preclude the conventional Phase … assume implicitly that nonsta- tionarity and/or the lack of historic data preclude the conventional Phase … assume implicitly that nonsta-tionarity and/or the lack of historic data preclude the conventional Phase … -
The Development of Virtual Data for Syndromic Surveillance Exercises
Content Type: Abstract
On 27 April 2005, a simulated bioterrorist event—the aerosolized release of Francisella tularensis in the men’s room of luxury box seats at a sports stadium—was used to exercise the disease surveillance capability of the National Capital Region (NCR… read more… scenario realism. RESULTS A total of 2,623,226 background visit records were generated for the exercise. The … between 4/5- 5/3/05. Those infected generated 3050 ED visit re- cords, 106 military office visit records, and 2627 sales of OTC medication at 23 … -
Development and Evaluation of a Data-adaptive Algorithm for Univariate Temporal Biosurveillance Data
Content Type: Abstract
Numerous recent papers have evaluated algorithms for biosurveillance anomaly detection. Common essential problems in the disparate, evolving data environment include trends, day-of-week effects, and other systematic behavior.… read more… of authentic outpatient data covering 1402 days of clinic visit counts. Receiver operating characteristic curves were … in Medicine, available at http://www3.interscience.wiley.com/cgi- bin/fulltext/114131913/PDFSTART. 2. Brillman JC, et.al. Modeling emergency department visit patterns for infectious disease complaints: results … -
Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring
Content Type: Abstract
This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more… alerting algorithms involve four steps: preconditioning, com- putation of expected values, computation of test sta- … signals. Sensitivity values were recorded for practical back- ground alert rates to compare algorithm detection … -
Implementation and Comparison of Preprocessing Methods for Biosurveillance Data
Content Type: Abstract
Modern biosurveillance relies on multiple sources of both prediagnostic and diagnostic data, updated daily, to discover disease outbreaks. Intrinsic to this effort are two assumptions: (1) the data being analyzed contain early indicators… read more… singularities” and will falsely report outbreaks when com- paring new counts to past low holiday values (2). … Decision Making 2005, 5:4:1–14, [http://www.biomedcentral.com/content/pdf/ 1472- 6947- 5- 4.pdf]. 28. Burkom HS, …