Displaying results 761 - 768 of 826
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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 -
Spatial Cluster Detection in Case-Control Datasets with the Autonomous Leaves Graph
Content Type: Abstract
Ordering-based approaches [1,2] and quadtrees [3] have been introduced recently to detect multiple spatial clusters in point event datasets. The Autonomous Leaves Graph (ALG) [4] is an efficient graph-based data structure to handle the communication… read more… for case event data: an ordering-based approach. Comm Stat Theor Meth. 2011;40:358�72. 3. Yiannakoulias N, … -
Analyses of National Syndromic Surveillance Data: Real-Time Hospital, Veterans Affairs (VA) & Department of Defense (DoD) Data
Content Type: Abstract
Since July 2004 the BioSense program at the Centers for Disease Control and Prevention (CDC) has received data from DoD military and VA outpatient clinics (not in real time). In January 2006 real-time hospital data (e.g. chief complaints and… read more… (80% inpatient). 0% 20% 40% 60% 80% 100% All S yn dr om es Bo tul ism Hem or rh ag ic Illn es s Ly mph ad en itis … h Sp ec ific In fec tio n Fe ve r P er ce nt o f S yn dr om e Outpatient Inpatient/Admitted Emergency Figure 2 … -
Finding Time-of-Arrival Clusters of Exposure-Related Visits to Emergency Departments in Contiguous Hospital Groups
Content Type: Abstract
Time-of-arrival (TOA) surveillance methodology consists of identifying clusters of patients arriving to a hospital emergency department (ED) with similar complaints within a short temporal interval. TOA monitoring of ED visit data is currently… read more… 2011. 2. Tokars JI, Burkom H, Xing J, English R, Bloom S, Cox K, et al. Enhancing time-series detection algorithms for … -
Inferring Travel from Social Media
Content Type: Abstract
The spread of infectious diseases is facilitated by human travel. Infectious diseases are often introduced into a population by travelers and then spread among susceptible individuals. Likewise uninfected susceptible travelers can move into… read more… We display intrastate travel by aggregating each user’s con- secutive records within each state and plotting only … -
Fast Graph Structure Learning from Unlabeled Data for Outbreak Detection
Content Type: Abstract
Disease surveillance data often has an underlying network structure (e.g. for outbreaks which spread by person-to-person contact). If the underlying graph structure is known, detection methods such as GraphScan (1) can be used to identify an… read more… anomalous subsets detected with and without the graph con- straints. We consider a large set of potential graph … -
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… doi:10.1371/journal. pone.0009533. 2. Burkom H, Elbert Y, Cox K, Lombardo J. Upgrading the ESSENCE health monitoring … -
Use of CDC's Epidemic Information Exchange system as a Disease Surveillance Tool
Content Type: Abstract
Epi-X is an internet-based secure website for the exchange of information regarding developing public health events. Reports are exchanged with state epidemiologists, state health officers, and other key public health officials. Provisional and… read more… of which approximately 1600 are authorized to directly con- tribute reports regarding developing public health …