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  • 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 …
  • KS Onboarding Presentation

    Content Type: Presentation Slides

    These slides provide an overview of the onboarding process for jurisdictions in Kansas supplying data for BioSense. This presentation emphasizes steps needed to improve data quality.
    …   % Visits   Direct   15   13%   KHIN   6   2%   ESSENCE   -   0%   Total   21   15%   Note: “%Visits” based …   15   13%     19   45%   KHIN   6   2%     40   22%   ESSENCE   -   0%     3   6%   Total   21   15%     62   72% …
  • 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 …
  • 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, …
  • GraphScan: Detection and Analysis of Free-Form Spatio-Temporal Patterns

    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 …
  • 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 …