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Displaying results 1 - 8 of 9
  • A Visual Analytics Toolkit for Evaluating Potential Syndromic Outbreaks

    Content Type: Abstract

    Our toolkit adds statistical trend analysis, interactive plots, and kernel density estimation to an existing spatio-temporal visualization platform. The goal of these tools is to provide both a quick assessment of the current… read more
    … significant. The sample data used for this toolkit come from over 70 emergency rooms throughout the state of … significant. The sample data used for this toolkit come from over 70 emergency rooms throughout the state of … Information: Ross Maciejewski, rmacieje@purdue.edu www.purvac.org Advances in Disease Surveillance 2008;5:115 …
  • Using Open-Source Grid-Computing Technology to Improve Processing Time for Geospatial Syndromic Surveillance Data

    Content Type: Abstract

    Outbreak detection algorithms for syndromic surveillance data are becoming increasingly complex. Initial algorithms focused on temporal data but newer methods incorporate geospatial dimensions. As methods evolve, it is important to understand the… read more
    … Harvard Medical School and Harvard Pilgrim Health Care. (www.satscan.org) [3] Analysis and Visualization of … PBS Pro (Version 4.5) [Computer software]. Troy, MI (www.altair.com/software/pbspro.htm) [5] Maui Job Scheduler (2004) …
  • A model for flu outbreak surveillance that describes the time lag for data reporting from the first presentation of a case to diagnosis

    Content Type: Abstract

    Reporting notifiable conditions to public health authorities by health-care providers and laboratories is fundamental to the prevention, control, and monitoring of population-based disease. To successfully develop community… read more
    … and S Grannis.; licensee Emerging Health Threats Journal. www.eht-journal.org 2424 Conclusions Although diagnosis data … in the United States, Joshua L, Robert ES and Stanley Jr CO (eds). Institute of Medicine, National Academy Press: … Threats Journal RE Gamache and S Grannis. 2011, 4:s132 www.eht-journal.org page 2/2 2525 …
  • Collaborative development of use cases for geospatially enabling a health information exchange

    Content Type: Abstract

    Given the clear relationship between spatial contexts and health, the Indiana Center of Excellence in Public Health Informatics (ICEPHI) aims to serve both the needs of public health researchers and practitioners by… read more
    … Comer et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 13 allowing spatially aware research and … Health Threats Journal KF Comer et al. 2011, 4:s72 www.eht-journal.org page 2/2 14 …
  • The Day-of-the-Week Effect: A Study Across the Indiana Public Health Emergency Surveillance System

    Content Type: Abstract

    Complex, highly parameterized data models are often used to detect syndromic outbreaks. Unfortunately, such models can pose greater maintenance challenges as parameter variations increase. As such, our work focuses on whether day… read more
    … Information: Ross Maciejewski, rmacieje@purdue.edu www.purvac.org Advances in Disease Surveillance 2008;5:44 …
  • LAHVA: Linked Animal-Human Health Visual Analytics

    Content Type: Abstract

    This paper describes our integrated visual analytics framework for analyzing both human emergency room data and veterinary hospital data.
    … Information: Ross Maciejewski, rmacieje@purdue.edu www.purvac.org Advances in Disease Surveillance 2007;4:11 …
  • A Novel, Context-Sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection

    Content Type: Abstract

    The use of spatially-based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We describe a novel method for anonymizing individuals in public health datasets, by… read more
    … Information: Christopher Cassa, cassa@mit.edu http://www.chip.org/ Advances in Disease Surveillance 2006;1:10 …
  • STL and Local Regression for Modeling Disease Surveillance Counts

    Content Type: Abstract

    Numerous methods have been applied to the problem of modeling temporal properties of disease surveillance data; the ESSENCE system contains a widely used approach (1). STL (2) is a flexible, wellproven method for temporal… read more
    … square-root daily counts. Vertical scales have sameunits/cm. Solid vertical line isJan. 1. Objective: Use the STL …