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Displaying results 1 - 8 of 9
  • Content Type: Abstract

    Florida has implemented various surveillance methods to augment existing sources of surveillance data and enhance decision making with timely evidence based assessments to guide response efforts post-hurricanes. Historically, data collected from… read more
    … or response events. A new process was implemented for con- ducting surveillance to monitor injury and illness for … or response events. A new process was implemented for con- ducting surveillance to monitor injury and illness for …
  • Content Type: Abstract

    A pandemic caused by influenza A/H5N1 or another novel strain could kill millions of people and devastate economies worldwide. Recent computer simulations suggest that an emerging influenza pandemic might be contained in Southeast Asia through rapid… read more
    … delays in pandemic recognition. Wealthy countries have com- mitted substantial funds to improve pandemic detec- … Interval between symptom onset and presentation for con- firmed human H5N1 cases with publicly available WHO … Health Organization. WHO pandemic influenza draft proto- col for rapid response and containment. Draft 30, May 2006. …
  • Content Type: Presentation Slides

    Presented January 28, 2008 The following presentation was given as part of the Integrated Surveillance Seminar Series from the National Center for Public Health Informatics and provides an overview of public health informatics… read more
    … Lab Clinic Population New Tools & New Applications http://www.cancer.gov/trwg/TRWG-definition-and-TR-continuum … DC DOH DoD GEISWRAIR Washington DoH Missouri DoH Marion Co. DoH LA County DoH Cook Co. DoH Tarrant Co. DoH Miami DoH Milwaukee DoH Santa Clara …
  • 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 …
  • 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] …
  • Content Type: Abstract

    A number of syndromic surveillance systems include tools that quickly identify potentially large disease outbreak events. However, the high falsepositive rate continues to be a problem in all of these systems. Our earlier work… read more
    … (ILI) were obtained from the CDC Influenza website http://www.cdc.gov/flu/ (accessed on 12/18/06), to make comparisons …
  • Content Type: Abstract

    Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series… read more
    … METHOD At a high level our anomaly detection approach con- sists of: 1) Learning the model of normalcy; 2) De- … in Kernel Methods: Support Vector Learning”, MIT Press, Cam- bridge, MA, 1999. [3] Burkom H., Elbert Y., Magruder …
  • 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 …