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Displaying results 417 - 424 of 442
  • Content Type: Abstract

    While mass media coverage of bird flu often provides specific information that may prevent or contain the disease, it is often less than ideal; the public may become fearful and panic at the news of a potential outbreak of bird… read more
    … As 2006 came to an end, and into 2007, ‘bird flu’ came back with a vengeance surfacing in many more countries and …
  • Content Type: Abstract

    The New York State (NYS) Medicaid Program provides healthcare for 34% of the population in New York City (NYC) and 4%-20% in each of the 57 county populations up-state. Prescription data are collected through the sub-mission of claims forms to the… read more
    … help- ful in the 20 counties of upstate New York that lack sentinel physicians. Further Information: Kathryn …
  • Content Type: Abstract

    PHIN-MS can send and receive data securely and automatically. It is used by many hospitals in the state(s) to send data to the South Carolina Department of Health and Environmental Control (SC DHEC) for both our National Electronic Disease… read more
    … hospitals to easily poll/receive syndromic data reports back from SC DHEC. This enables a two-way communication …
  • Content Type: Abstract

    A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to … read more
    … in the background! injection dataset but absent from the back- ground-only dataset; (2) the ‘false alarm rate’ (FAR), …
  • Content Type: Abstract

    A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to improve the performance… read more
    … in the background! injection dataset but absent from the back- ground-only dataset; (2) the ‘false alarm rate’ (FAR), …
  • Content Type: Abstract

    The resources available in most public health departments are limited. Access to trained technical personnel and stateof-the-art computing resources are also lacking. Customizable off-the-shelf systems contribute only to creation of information… read more
    … The dynamic, model driven, information processing back- end services support context independent, disparate …
  • Content Type: Abstract

    A comprehensive electronic medical record (EMR) represents a rich source of information that can be harnessed for epidemic surveillance. At this time, however, we do not know how EMR-based data elements should be combined to improve the performance… read more
    … in the background! injection dataset but absent from the back- ground-only dataset; (2) the ‘false alarm rate’ (FAR), …
  • Content Type: Abstract

    In disease surveillance, an outbreak is often present in more than one data type. If each data type is analyzed separately rather than combined, the statistical power to detect an outbreak may suffer because no single data source… read more
    … 5353 distribution. Third, we combine the sub-nodes back into the original node by adding the allocated counts …