Displaying results 497 - 504 of 857
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Establishing a Syndromic Surveillance System Using Chief-Complaint Data at Emergency Department of One Regional Hospital in Taipei City to Detect Infectious Disease Outbreaks
Content Type: Abstract
Facing public health threats of bioterrorism and emerging infectious diseases (EID), the traditional passive surveillance system is not efficient and outmoded. Evidences reveal that several newly developed syndromic surveillance… read more… From Oct. 1 to May 31, 2006, there have been 126,675 ED visit data stored in the data base. We categorized ED … -
Evaluation of Alerting Sparse-Data Streams of Population Healthcare-Seeking Data
Content Type: Abstract
Objective This presentation discusses the problem of detecting small-scale events in biosurveillance data that are relatively sparse in the sense that the median count of monitored time series values is zero. Research goals are to understand… read more… streams were small-scale series of 1400 days of daily visit counts in 20 syndromic categories. The simulated data … -
Navy Disease Reporting System Case Validation through Use of HL7 and SADR/SIDR Databases: Chlamydia Trachomatis
Content Type: Abstract
Reporting allows for the collection of statistics that show how often disease occurs, which helps researchers identify disease trends and track disease outbreaks. U.S. Navy has a modified list of reportable medical events to accommodate for… read more… only the electronic labo- ratory results and provider visit data. HL7 Yes No Yes No SADR Yes Yes No No Yes 89 89 … -
North Texas School Health Surveillance: First-Year Progress and Next Steps
Content Type: Abstract
Recognizing the threat of pandemic influenza and new or emerging disease such as SARS, the U.S. Department of Health and Human Services has recommended that schools work in partnership with their local health departments “to develop a surveillance… read more… information about DotNetNuke or to download the software, visit www.dotnetnuke.com. 5. Powell T, Tarrant County School … -
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 … -
Analytic Fusion for Essential Indicators of the Opioid Epidemic
Content Type: Abstract
Unlike other health threats of recent concern for which widespread mortality was hypothetical, the high fatality burden of opioid overdose crisis is present, steadily growing, and affecting young and old, rural and urban, military and civilian… read more… Traditional sources included emergency department (ED) visits and emergency management services (EMS) call records. … Traditional sources included emergency department (ED) visits and emergency management services (EMS) call records. …