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Displaying results 249 - 256 of 312
  • Content Type: Abstract

    In the fall of 2001, the Bioterrorism Preparedness and Response (BT P&R) Unit initiated a syndromic surveillance system utilizing chief complaint data collected from Emergency Departments throughout Los Angeles County (LAC). Chief complaint data… read more
    … (i.e., Terrorism Early Warning Group, Pro-Med, Epi-X, ESSENCE, BioSense, ReddiNet®, VCMR, Outbreak log, coroner …
  • Content Type: Abstract

    Syndromic surveillance data have been widely shown to be useful to large health departments. Use at smaller local health departments (LHDs) has rarely been described, and the effectiveness of various methods of delivering syndromic… read more
    … of syndromic surveillance data, as well as provision of training, may increase use of this information at the local …
  • Content Type: Abstract

    HealthMap (www.healthmap.org) is a freely accessible, automated real-time system that monitors, organizes, integrates, filters, and maps online news about emerging diseases. The system performs geographic parsing (“geo-parsing”) of disease… read more
    … outbreaks, retrieved by HealthMap in 2007, is used as the training dataset. The words in the articles are tagged with … The experiments also reveal that providing additional training material improves the performance of the model, …
  • Content Type: Abstract

    By capturing the spatio-temporal organization of the data using a graph, GraphScan avoids the challenges associated with trying to “fit” incoming data into moving windows of predefined shapes and sizes. Whereas the popular space-time permutation… read more
    … developed that handles data on a day- by-day basis. In essence, the program consists of two major components: The …
  • Content Type: Abstract

    Previous studies in developed countries showed school absenteeism data can serve as a proxy for monitoring infectious disease activities and facilitates early community outbreak detection. However, absenteeism patterns may differ in developing… read more
    … surveillance system was feasible after initial staff training, purchasing necessary equip- ments for …
  • 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.
    … using the first two and a half years of data (“training data set”), and validated in the remaining two and … hours of symptom onset. Forty-five percent of the PCHD “training” data set and 25% of the “test data set” was …
  • 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
    … algorithms use the historical data of the outbreaks as a training set to build a model of this data. A sliding window of several days is used with the sequence data to train the neural networks (NN). Emergency Department (ED) … Two types of outbreak patterns were injected into the training set at a rate of one outbreak per year. These …
  • Content Type: Abstract

    The increased threat of bioterrorism and naturally occurring diseases, such as pandemic influenza, continually forces public health authorities to review methods for evaluating data and reports. The objective of bio-surveillance is to automatically… read more
    … for the Early Notification of Community-Based Epidemics (ESSENCE) system. These data include records of classified … information is potentially available to the user via the ESSENCE interface or sources available via the internet. Our …