Displaying results 1 - 4 of 4
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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- … -
Visits with Nontyphoidal Salmonella Infections Reported to the BioSense System, 2006-2007
Content Type: Abstract
Biosurveillance systems typically receive free- text chief complaint and coded diagnosis data, however this data has limited specificity for notifiable disease surveillance. The Biosense System receives chief complaint and/or diagnosis data from… read more… Agents. October 23, 2003. Available at: http://www.bt.cdc.gov/surveillance/syndromedef/ Advances in Disease … -
Performance Characteristics of Control Chart Detection Methods
Content Type: Abstract
To recognize outbreaks so that early interventions can be applied, BioSense uses a modification of the EARS C2 method, stratifying days used to calculate the expected value by weekend vs weekday, and including a rate-based method… read more… Data User Guide, version 2.06 (September 2006), http://www.cdc.gov/biosense/files/CDC_BioSen … -
Synthesizing the American Health Information Community’s Minimum Data Set
Content Type: Abstract
One of the challenges facing developers and users of automated disease surveillance systems is being able to accurately evaluate the performance of their systems for the wide variety of public health threats that are possible. A… read more… be pre- sented and methods for insuring maintenance of con- fidentiality will be discussed. BACKGROUND One of the … based on the hypothesized activity of individuals with con- tagious diseases [1]. This data is only as accurate as …