Displaying results 417 - 424 of 855
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in silico Surveillance: Using Detailed Computer Simulations to Develop and Evaluate Outbreak Detection
Content Type: Abstract
Developing and evaluating outbreak detection is challenging for many reasons. A central difficulty is that the data the detection algorithms are “trained” on are often relatively short historical samples and thus do not represent the full… read more… digital representa- tions, of every person. These agents visit specific loca- tions throughout the area of study and … -
Accuracy versus Timeliness for Influenza Detection: A Comparison of Hospital Syndromic Surveillance Data with Discharge Data
Content Type: Abstract
Hospital syndromic surveillance data may be a useful tool in detecting increases in influenza-like-illness (ILI) and for monitoring seasonal trends or pandemic activity on a local level. A previous comparison of hospital… read more… (480-486) or influenza (487) were matched on a unique visit number. RESULTS The general respiratory syndrome … -
The Value of Patient Reports in Syndrome Assignment
Content Type: Abstract
Of critical importance to the success of syndromic surveillance systems is the ability to collect data in a timely manner and thus ensure rapid detection of disease outbreaks. Most emergency department-based syndromic surveillance systems use… read more… pertaining to the child’s current illness. After the visit, the sub- ject’s medical record was abstracted and … -
Outbreak Observatory: Conducting operational research during outbreaks to improve preparedness and response
Content Type: Webinar
Presented June 27, 2018. During this presentation, researchers discussed how Outbreak Observatory, a pilot project initiated by the Johns Hopkins Center for Health Security, facilitated the conduct of real-time operational research during… read more… Taiwan CDC officials and local health bureau staff o Site visit to a local hospital to observe vaccine storage and distribution o Site visits to mass vaccination events at a nursery/elementary … -
Early Identification of Salmonella Cases Using Syndromic Surveillance
Content Type: Abstract
On June 7, 2008, federal food protection and public health agencies alerted consumers of a nationwide outbreak of Salmonella Saintpaul infections. As of June 30, 2008, 851 persons infected with Salmonella Saintpaul with the same… read more… visited the ED on Jun 6 and information regarding that visit was available in ESSENCE the following day. The case … -
Learning Outbreak Regions for Bayesian Spatial Biosurveillance
Content Type: Abstract
This work incorporates model learning into a Bayesian framework for outbreak detection. Our method learns the spatial characteristics of each outbreak type from a small number of labeled training examples, assuming a generative outbreak model with… read more… outbreaks injected into real-world Emergency Department visit data from Allegheny County, PA. In the simulations … -
A Pilot Study of Aberration Detection Algorithms with Simulated Data
Content Type: Abstract
To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data. read more… for detecting anomalies in daily emergency depart- ment visit data for 130 hospitals with 6 syndrome categories. … -
Use of Syndromic Surveillance during a South Florida Mass Migration Exercise, Broward County
Content Type: Abstract
On March 7th and 8th of 2007 authorities from federal, state, county, and municipal jurisdictions/agencies having mass migration response responsibilities (as per the Department of Homeland Security Operation Vigilant Sentry, as well as… read more… resident and hospital zip code, hospital name, time of visit, and chief complaint text. If clustering of these …