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Displaying results 9 - 16 of 22
  • Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance

    Content Type: Abstract

    We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.
    … and excluded one hospital that did not provide ED chief com- plaints. The weekly number of positive viral cultures …
  • 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- …
  • Quantifying the relationship between influenza-related emergency department visits and hospital admissions in BioSense

    Content Type: Abstract

    Real-time emergency department (ED) data from the BioSense surveillance program for ILI visits and ILI admissions provide valuable insight into disease severity that bridges gaps in traditional influenza surveillance systems that monitor ILI in… read more
    … et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 58 (ICD-9-CM codes 487 and 488) or an ILI-related chief complaint … Health Threats Journal AF McIntyre et al. 2011, 4:s99 www.eht-journal.org page 2/2 59 …
  • Analytic Methodologies for Disease Surveillance Using Multiple Sources of Evidence

    Content Type: Webinar

    This presentation is for public health practitioners and methodology developers interested in using statistical methods to combine evidence from multiple data sources for increased sensitivity to disease outbreaks. Methods described will account for… read more
    …     Slides  and  recording:       Available  at:  http://www.syndromic.org/component/content/article/37/831     …  Report,  April  2012,  Volume  19,  Number  4,     h%p://www.a~sc.mil/viewMSMR?file=2012/v19_n04.pdf   [TRICARE] …
  • Analytic disease surveillance methodology based on emulation of experienced human monitors

    Content Type: Abstract

    Recently published studies evaluate statistical alerting methods for disease surveillance based on detection of modeled signals in a data background of either authentic historical data or randomized samples. Differences in regional… read more
    … Burkom et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 77 …
  • A collaboration to enhance detection of disease outbreaks clustered by time of patient arrival

    Content Type: Abstract

    One objective of public health surveillance is detecting disease outbreaks by looking for changes in the disease occurrence, so that control measures can be implemented and the spread of disease minimized. For this purpose, the… read more
    … Burkom et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 13 …
  • 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 …
  • Essential Requirements for Effective Advanced Disease Surveillance

    Content Type: Abstract

    Advanced surveillance systems require expertise from the fields of medicine, epidemiology, biostatistics, and information technology to develop a surveillance application that will automatically acquire, archive, process and present data to the user… read more
    … Department Chief Complaint Records, PHIN 2005, http://www.cdc.gov/phin/05conference/05-12-05/8A_Feighner.pdf. [2] …