Displaying results 1 - 6 of 6
    
      
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Predicting Levels of Influenza IncidenceContent Type: Abstract Influenza epidemics occur seasonally but with spatiotemporal variations in peak incidence. Many modeling studies examine transmission dynamics [1], but relatively few have examined spatiotemporal prediction of future outbreaks [2]. Bootsma et al [3… read more
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Use of Severity Indicators in a Public Health Surveillance SystemContent 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
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Utility of Data Fusion for Public Health Monitors: Lessons Learned from a Beta TestContent 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
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Validation of Analytic Methods for Combining Evidence Sources in BiosurveillanceContent 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
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Analytic Biosurveillance Methods for Resource-Limited SettingsContent 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
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Automated Real-Time Surveillance Using Health Indicator Data Received at Different Time IntervalsContent 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

