Displaying results 9 - 16 of 18
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Use of Severity Indicators in a Public Health Surveillance System
Content Type: Abstract
Data streams related to case severity have been added to the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE), a disease-monitoring application used by the Department of Defense (DoD), as an additional… read more -
Utility of Data Fusion for Public Health Monitors: Lessons Learned from a Beta Test
Content Type: Abstract
The Armed Forces Health Surveillance Center (AFHSC) supports the development of new analytical tools to improve alerting in the Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) disease-monitoring… read more -
Validation of Analytic Methods for Combining Evidence Sources in Biosurveillance
Content Type: Abstract
Recent years' informatics advances have increased availability of various sources of health-monitoring information to agencies responsible for disease surveillance. These sources differ in clinical relevance and reliability, and range from… read more -
Analytic Fusion of ESSENCE Clinical Evidence Sources for Routine Decision Support
Content Type: Abstract
Block 3 of the US Military Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE) system affords routine access to multiple sources of data. These include administrative clinical encounter records in the… read more -
Hierarchical Filtering of ESSENCE for Routine, Distributed Disease Monitoring by the Veterans Health Administration
Content Type: Abstract
The VA has employed ESSENCE for health monitoring since 2006 [1]. Epidemiologists at the Office of Public Health (OPH) monitor the VA population at the national level. The system is also intended for facility-level monitoring to cover 152 medical… read more -
Analytic Biosurveillance Methods for Resource-Limited Settings
Content Type: Abstract
Biosurveillance in resource-limited settings is essential because of both enhanced risk of diseases rarely seen elsewhere (e.g. cholera) and pandemic threats (e.g. avian influenza). However, access to care and laboratory test capability are… read more -
Automated Real-Time Surveillance Using Health Indicator Data Received at Different Time Intervals
Content Type: Abstract
The Johns Hopkins Applied Physics Laboratory and the Armed Forces Health Surveillance Center have developed a hybrid processing engine that alerts monitors when a severe health condition exists based on corroboration among several sources of data.… read more -
A Term-based Approach to Asyndromic Determination of Significant Case Clusters
Content Type: Abstract
Biosurveillance systems commonly depend on free-text chief complaints (CC)s for timely situational awareness. However, diagnosis codes may not be available soon enough and may have uncertain value because they are assigned for billing purposes… read more