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Displaying results 401 - 408 of 442
  • Syndromic Surveillance in Major Sporting Event- Jamaican Experience

    Content Type: Abstract

    This paper evaluates the expended and enhanced surveillance system specifically syndromic surveillance, which was implemented during the International Cricket Council Cricket World Cup West Indies 2007 (ICC CWC WI 2007) in Western Jamaica.
    … sessions which were done by MoH prior to the event lack of awareness or little knowledge about conditions / …
  • Approaches to Prediction Models for Poison Control Center-Based Syndromic Surveillance for Foodborne Illness

    Content Type: Abstract

    To construct and validate a prediction algorithm that detects early increases in laboratory reports of enteric illnesses on the basis of calls to a poison control center reporting suspected foodborne illnesses.
    … systems were developed for acute clinical care, and may lack information neces- sary for syndromic surveillance. In …
  • Automatic Foot-and-Mouth Disease (FMD) New Monitoring and Classification

    Content Type: Abstract

    Foot-and-mouth disease (FMD) is one of the most devastating diseases of farm animals. There is a critical need for countries to have a global FMD situational awareness. Monitoring the online news sources for FMD-related news… read more
    … Tseng1, Yan Dang1, Hsinchun Chen1, Catherine A. Larson1, Zack Whedbee2, Andres Perez2, Mark Thurmond2 1Artificial …
  • Comparing Syndromic Surveillances using Two Aspects: Emergency and Telehealth Data Sources

    Content Type: Abstract

    The objective of this paper is to examine the utility of Emergency Department and Telehealth data for Syndromic Surveillance. This works attempts to minimize false outbreak detection. It also demonstrates that these two data sources contain… read more
    … Artificial Neural Networks [1]. This work will compare back propagation (BP) and the support vector machine (SVM). …
  • Comparison of Aberration Detection Algorithms for Syndromic Surveillance

    Content Type: Abstract

    This paper describes a study of various aberration detection algorithms currently used in syndromic surveillance and one based on artificial neural networks developed at Guelph. The goal of the research is not to select one ìwinningî algorithm but… read more
    … weightings. The neural network used in this testing is a back- propagation trained feed-forward perceptron network. …
  • Influenza surveillance using inpatient health information exchange data

    Content Type: Abstract

    During the 2009 H1N1 influenza pandemic, the Washington State Department of Health (DOH) temporarily made lab-confirmed influenza hospitalizations and deaths reportable. As reporting influenza hospitalizations is resource intensive for hospitals,… read more
    … timely source of hospitalization information. Despite a lack of com- plete overlap between records reported through …
  • The Utility of Patient Chief Complaint and ICD 9 Classifiers for the Influenza Sub-Syndrome

    Content Type: Abstract

    In order to detect influenza outbreaks, the New York State Department of Health emergency department (ED) syndromic surveillance system uses patients’ chief complaint (CC) to assign visits to respiratory and fever syndromes… read more
    … be improved, but much of the misclassification was due to lack of information in the CC and ICD9. Even after …
  • Ellipse-Based Clustering Analysis Using a Time Series Algorithm

    Content Type: Abstract

    Many cities in the US and the Center for Disease Control and Prevention have deployed biosurveillance systems to monitor regional health status. Biosurveillance systems rely on algorithms that analyze data in temporal domain… read more
    … copes has MLLR. DISCUSSION The limit of the study is the lack of randomization test and rigorous evaluation. We are …