Displaying results 1 - 8 of 20
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Applications of the ESSENCE Desktop Edition for Outbreak Detection in a Resource-Limited Setting
Content Type: Abstract
Recent events have focused on the role of emerging and re-emerging diseases not only as a significant public health threat but also as a serious threat to the economy and security of nations. The lead time to detect and contain a novel emerging… 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 -
Diagnosis Coding Anomalies Resulting in Hemorrhagic Illness Alerts in Veterans Health Administration Outpatient Clinics
Content Type: Abstract
The Veterans Health Administration (VHA) operates over 880 outpatient clinics across the nation. The Johns Hopkins Applied Physics Laboratory’s Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE) utilizes… read more -
Increase in Pneumonia Cases as an Early Indicator of Severe and Pandemic Influenza Outbreak
Content Type: Abstract
Objective To enable the early detection of pandemic influenza, we have designed a system to differentiate between severe and mild influenza outbreaks. Historic information about previous pandemics suggested the evaluation of two… read more -
Using Electronic Surveillance Systems in Resource-Poor Settings: Why and How
Content Type: Abstract
Difficulties in timely acquisition and interpretation of accurate data on communicable diseases can impede outbreak detection and control. These limitations are of global importance: they contribute to avoidable morbidity,… read more -
Tweeting Fever: Are Tweet Extracts a Valid Surrogate Data Source for Dengue Fever?
Content Type: Abstract
Dengue fever is a major cause of morbidity and mortality in the Republic of the Philippines (RP) and across the world. Early identification of geographic outbreaks can help target intervention campaigns and mitigate the severity of outbreaks.… 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