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Displaying results 801 - 808 of 1024
  • Content Type: Abstract

    To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data.   read more
    … User Guide, version 2.06 (September 2006), at http://0- www.cdc.gov.mill1.sjlibrary.org/biosense, 2007. 3. CR …
  • Content Type: Abstract

    The evolution of a communicable disease in a human population is not entirely predictable. However, the spreading process can be assumed to vary smoothly in time. The time-dependent infection process can be linked to observations of… read more
    … C Safta et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 5757 …
  • Content Type: Abstract

    GI disease outbreaks can be focal (for example, restaurant associated), generalized (for example, seasonal rotavirus increases) or intermediate (for example, widely disseminated contaminated commercial products). Health departments (HDs) are… read more
    … Greene et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 2626 …
  • Content Type: Abstract

    The novel strain of H1N1 Influenza A virus, which first caused localized outbreaks in parts of Mexico, was declared a pandemic in June 2009. The Centers for Disease Control and Prevention’s (CDC) Countermeasure and Response… read more
    … Nichols et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 80 …
  • Content Type: Abstract

    The goal of disease and syndromic surveillance is to monitor and detect aberrations in disease prevalence across space and time. Disease surveillance typically refers to the monitoring of confirmed cases of disease, whereas syndromic… read more
    … Heaton et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 2828 …
  • Content Type: Abstract

    The variability of free text emergency department (ED) data is problematic for biosurveillance, and current methods of identifying search terms for symptoms of interest are inefficient as well as time- and labor-intensive. Our ad… read more
    … frame=http://www.nlm.nih.gov/research/umls/documentation.html [2] …
  • Content Type: Abstract

    The North Carolina Bioterrorism and Emerging Infection Prevention System (NC BEIPS) receives daily emergency department (ED) data from 33 (29%) of the 114 EDs in North Carolina. These data are available via a Web-based portal and the Early… read more
    … bioterrorism- associated agents. Available at http://www.bt.cdc.gov/surveillance/syndromedef/ [3] Wagner, MM, …
  • Content Type: Abstract

    Security threats and the recent emergence of avian influenza in Europe have heightened the profile of and need for a good surveillance strategy during such events. The two main rationales for enhanced infectious disease surveillance at mass events… read more
    … A58/4, 16 May 2005. [Cited 2005 Nov 29]. Available from www.who.int/gb/ebwha/pdf_files/WHA58/A58_4-en.pdf Advances …