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Displaying results 97 - 104 of 199
  • Access to and use of syndromic surveillance information at the local health department level

    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 …
  • Expanding a Gazetteer-based Approach for Geo-Parsing Text from Media Reports on Global Disease Outbreaks

    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, …
  • Support Vector Machines for Syndromic Surveillance

    Content Type: Abstract

    Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series… read more
    … to the algorithm [2] that requires only positive training examples, in our case - the normal (no outbreak) … presented to the epidemiologist. INITIAL RESULTS The training was performed on ESSENCE data with disease …
  • Executive Summary of the ISDS DTRA Consultancy Project 2014-2017

    Content Type: Report

    The International Society for Disease Surveillance (ISDS) fills the need for a practical forum and coordinating mechanism for collaboration among subject matter experts (SMEs) from stakeholder groups that may normally not interact but who, when… read more
    … analytics. Connecting public health staff with additional training in data analytics will strengthen public health … generated great discussion was the lack of opportunity to train existing health department staff in data analytics and … identified public health practice/tool and to identify training opportunities in data analysis for public health …
  • Increasing Local Access to Syndromic Surveillance Data

    Content Type: Abstract

    In the spring of 2005, the ISDH began using Electronic Surveillance System for the Early Notification of Community-based Epidemics  (ESSENCE) application to analyze emergency department (ED) chief complaint data for syndromic surveillance… read more
    … hardware proved challenging and at times dissatisfying. A training username/password is created specifically for each … To date, 43 hospitals and 17 LHDs have received ESSENCE training and now have access to their syndromic data. When …
  • Rapid classification of autism for public health surveillance

    Content Type: Webinar

    This presentation given August 3, 2017 describes work toward applying machine learning methods to CDC’s autism surveillance program. CDC’s population-based autism surveillance is labor-intensive and costly, as it requires clinicians to manually… read more
    … Forests1 • Ensemble classifier, 10,000 trees initially Training Data: 2008 Georgia ADDM site • 1,162 children (601 … pandas) 1. Breiman, 2001 Absent Random forests: training one tree PresentAbsent “eye contact” “autism” …
  • Disease surveillance using school absenteeism data in rural Cambodia

    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 …
  • 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.
    … 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 …