Displaying results 201 - 208 of 4200
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Maryland ESSENCE expansion to incorporate prescription medication data
Content Type: Abstract
Maryland has a powerful syndromic surveillance system, ESSENCE, which is used for the early detection of disease outbreaks, suspicious patterns of illness, and public health emergencies. ESSENCE incorporates traditional and nontraditional health… read more -
BioSense program redesign
Content Type: Abstract
The BioSense program’s mission is to support and improve public health surveillance infrastructure and human capacity required to monitor (with minimal lag) critical population health indicators of the scope and severity of acute… read more -
BioSINE: an intuitive visualization tool to enhance collaboration between research and practice in disease surveillance
Content Type: Abstract
Funded by the Army’s Telemedicine and Advanced Technology Research Center, we developed the BioSINE toolset to provide visualization and collaboration capabilities to improve the accessibility and utility of health surveillance… read more -
Biosurveillance applications for resource-limited settings: open ESSENCE and ESSENCE desktop edition
Content Type: Abstract
More than a decade ago, in collaboration with the U.S. Department of Defense, the Johns Hopkins University Applied Physics Laboratory (JHU/APL) developed the Electronic Surveillance System for the Early Notification of Community-based… read more -
Building an automated Bayesian case detection system
Content Type: Abstract
Current practices of automated case detection fall into the extremes of diagnostic accuracy and timeliness. In regards to diagnostic accuracy, electronic laboratory reporting (ELR) is at one extreme and syndromic surveillance is at… read more -
Can all-cause school absenteeism be used to optimize the timing of school closure in response to pandemic influenza?
Content Type: Abstract
School closure has long been proposed as a non-pharmaceutical intervention in reducing the transmission of pandemic influenza. Children are thought to have high transmission potential because of their low immunity to circulating… read more -
Challenges in adapting an natural language processing system for real-time surveillance
Content Type: Abstract
We are developing a Bayesian surveillance system for realtime surveillance and characterization of outbreaks that incorporates a variety of data elements, including free-text clinical reports. An existing natural language processing (… read more -
Challenges of introducing disease surveillance technology in developing countries: experiences from India and Sri Lanka
Content Type: Abstract
Modern information and communication technologies have increasingly prominent roles in health care systems. To capitalize on attainable benefits, it is essential to thoroughly and purposefully weave them into the existing business … read more
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