Displaying results 1 - 8 of 9
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Novel Analysis and Visualization of Chemical Events for Public Health Surveillance
Content Type: Abstract
Pacific Northwest National Laboratory (PNNL), on behalf the Defense Threat Reduction Agency (DTRA; project number CB10190), hosts an annual intern- based web app development contest. Previous competitions have focused on mobile biosurveillance… read more -
Soda Pop: A Time-Series Clustering, Alarming and Disease Forecasting Application
Content Type: Abstract
The Biosurveillance Ecosystem (BSVE) is a biological and chemical threat surveillance system sponsored by the Defense Threat Reduction Agency (DTRA). BSVE is intended to be user-friendly, multi-agency, cooperative, modular and threat agnostic… read more -
Social Media Analytics for Post-Disasters Disease Detection in the Philippines
Content Type: Abstract
Previous research identifies social media as an informal source of near-real time health data that may add value to disease surveillance systems by providing broader access to health data across hard-toreach populations. This indirect health… read more -
Towards Influenza Surveillance in Military Populations Using Novel and Traditional Sources
Content Type: Abstract
Influenza-like illness (ILI) remains a significant public health burden to both the general public and the U.S. Department of Defense. Military personnel are especially susceptible to disease outbreaks owing to the often-crowded living quarters,… read more -
Application and Visualization of Twitter Data for Disease Surveillance
Content Type: Webinar
The panelists will present their current technical research using Twitter data for disease surveillance. Presentation topics may include filtering and processing of tweets, as well as the analysis and presentation of findings for surveillance… read more -
What's in Your Pocket? Trends in Mobile Apps for Biosurveillance and Decision-Making
Content Type: Abstract
To review current trends and issues in the development and use of mobile apps for public health surveillance and decision making in settings with different resource availability and technological development. The panel discussion will address cross-… read more -
Disease Models for Event Prediction
Content Type: Abstract
One of the primary goals of this research was to characterize the viability of biosurveillance models to provide operationally relevant information to decision makers, in order to identify areas for future research. Two critical characteristics… read more -
Novel and Nontraditional Data Streams: Where Do They Fit into Biosurveillance Action?
Content Type: Abstract
Public health surveillance relies on multiple systems and methodologies for data collection, analysis, and interpretation. Each component provides only part of the picture, such as detection of possible outbreaks or events of concern; geographic… read more