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Displaying results 433 - 440 of 442
  • A review of automated text classification in event-based biosurveillance

    Content Type: Abstract

    Event-based biosurveillance is a practice of monitoring diverse information sources for the detection of events pertaining to human, plant, and animal health. Online documents, such as news articles, newsletters, and (micro-) blog entries, are… read more
    … advantages of each method remain unclear because of the lack of benchmark data. A community effort is necessary to …
  • Klompas et al. Respond: Automated Public Health Reporting-- Possible with a Coalition of the Willing

    Content Type: Abstract

    Professor Hripcsak rightly points out some of the challenges inherent in disseminating and sustaining robust information systems to automate the detection and reporting of notifiable diseases using data from electronic medical records (EMR). New… read more
    … working on enabling ESP to send clinical messages back into the secured clinical inter- face of the EMR. In …
  • Application of Event-Based Biosurveillance to the 2011 E. coli Outbreak in Germany

    Content Type: Abstract

    Argus is an event-based, multi-lingual surveillance system which captures and analyzes information from publicly available Internet media. Argus produces reports that summarize and contextualize indications and warning (I&W) of emerging… read more
    … neighboring states. These problems were compounded by the lack of an effective HUS treatment, causing health officials …
  • Invited Commentary: Automated Public Health Reporting-- A Familiar but Cantankerous Friend

    Content Type: Abstract

    The Electronic medical record Support for Public health (ESP) project by Klompas et al. (1) promises improved public health reporting by exploiting information captured in electronic health records. This project pulls together a number of… read more
    … inflammatory disease reporting may be low not due to a lack of technology, but because of sensitivity by the …
  • Rapid ad-hoc cross-jurisdictional sharing of syndrome data using Distribute technology

    Content Type: Abstract

    Cross-jurisdictional sharing of public health syndrome data is useful for many reasons, among them to provide a larger regional or national view of activity and to determine if unusual activity observed in one jurisdiction is atypical. Considerable… read more
    … project does not impose strict syndrome definitions. This lack of standardization intro- duces variability between …
  • Implementation and Comparison of Preprocessing Methods for Biosurveillance Data

    Content Type: Abstract

    Modern biosurveillance relies on multiple sources of both prediagnostic and diagnostic data, updated daily, to discover disease outbreaks. Intrinsic to this effort are two assumptions: (1) the data being analyzed contain early indicators… read more
    … pattern. Normality To evaluate how closely the data follow a normal dis- tribution, we use histograms and a … ditioning, but there are several improvements that can follow. First, the tools and methods described here are all … E, Picard R, Umland E: Modeling emergency department visit patterns for infectious dis- ease complaints: results …
  • Syndromic Surveillance Practice in the United States: Findings from a Survey of State, Territorial, and Selected Local Health Departments

    Content Type: Abstract

    In 2007-2008, the authors surveyed public health officials in 59 state, territorial, and selected large local jurisdictions in the United States regarding their conduct and use of syndromic surveillance. Fifty-two (88%) responded, representing areas… read more
    … were not conducting syndromic surveillance, 3 cited a lack of capac- ity or funding as the reason, 2 stated that … 2008;6:3 next 2 years, and very few anticipated scaling back their use of syndromic surveillance. One dimension of …
  • Directionally Sensitive Multivariate Statistical Process Control Procedures with Application to Syndromic Surveillance

    Content Type: Abstract

    Current syndromic surveillance systems run multiple simultaneous univariate procedures, each focused on detecting an outbreak in a single data stream. Multivariate procedures have the potential to better detect some types of outbreaks, but most of… read more
    … and Montgomery (4) for a more detailed discussion. The lack of directional sensitivity can be a limitation of these … as to data that are independent. In the simulations to follow, the modified multivariate procedures’ performances … (i.i.d.) observations from a stationary distribution. Lack of independence, if not accounted for, results in …