Displaying results 1 - 8 of 16
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Advanced Querying Features for Disease Surveillance Systems
Content Type: Abstract
Automated disease surveillance systems that analyze data by syndrome categories have been used to look for outbreaks of disease for about 10 years. Most of these systems notify users of increases in the prevalence of reports in syndrome categories… read more -
Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance
Content Type: Abstract
We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI. -
Defining Clinical Condition Categories for Biosurveillance
Content Type: Abstract
The goal of this project is to create a set of clinical condition categories based on explicit criteria for use in biosurveillance programs. The categories will be defined and keywords and ICD-9-CM diagnosis codes for implementation will be proposed. -
Enhancing Event Communication in Disease Surveillance: ECC 2.0
Content Type: Abstract
Regional disease surveillance systems allow users the ability to view large amounts of population health information and examine automated alerts that suggest increased disease activity. These systems require users to view and… read more -
Essential Requirements for Effective Advanced Disease Surveillance
Content Type: Abstract
Advanced surveillance systems require expertise from the fields of medicine, epidemiology, biostatistics, and information technology to develop a surveillance application that will automatically acquire, archive, process and present data to the user… read more -
Event Communication in a Regional Disease Surveillance System
Content Type: Abstract
Versatile, user-friendly visualization tools are required to organize the wealth of information available to users of large, regional surveillance systems into a coherent view of population health status. Communications … read more -
Analytic disease surveillance methodology based on emulation of experienced human monitors
Content Type: Abstract
Recently published studies evaluate statistical alerting methods for disease surveillance based on detection of modeled signals in a data background of either authentic historical data or randomized samples. Differences in regional… 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