Displaying results 17 - 24 of 30
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Modifications to Spatial Scan Statistics for Estimated Probabilities at Fine-Resolution in Highly Skewed Spatial Distributions
Content Type: Abstract
Estimation of representative spatial probabilities and expected counts from baseline data can cause problems in applying spatial scan statistics when observed events are sparse in a large percentage of the spatial zones (e.g.,… read more… this inves- tigation of alternatives. METHODS Counts of visits to Texas Department of Defense (DoD) clinics, grouped … the cho- sen syndrome groups from the Texas DoD clinic visit counts at the residence-zip code and home-zip code … -
Adopting a common influenza-like illness syndrome across multiple health jurisdictions
Content Type: Abstract
Syndromic surveillance systems were designed for early outbreak and bioterrorism event detection. As practical experience shaped development and implementation, these systems became more broadly used for general surveillance and situational… read more… historical data consisting of total and ILI-related daily visit counts by age group (B2, 2�4, 5�17, 18�44, 45�64 and … time-series, subsyndrome and age-specific distribution of visits and signal-to-noise measures. Results We found less … purpose) Fig. 1. Time-series of percent of total ED visits: locally preferred ILI (top) and common ILI (bottom) … -
A collaboration to enhance detection of disease outbreaks clustered by time of patient arrival
Content Type: Abstract
One objective of public health surveillance is detecting disease outbreaks by looking for changes in the disease occurrence, so that control measures can be implemented and the spread of disease minimized. For this purpose, the… read more… Results This method was tested and validated on ED visit count data covering over 6 years and aggregated at … -
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 … -
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. … -
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. … -
The Tradeoffs Driving Policy and Research Decisions in Biosurveillance
Content Type: Abstract
Every public health monitoring operation faces important decisions in its design phase. These include information sources to be used, the aggregation of data in space and time, the filtering of data records for required… read more… alerting methods, we used 3 years of outpatient clinic visit data in which records were classified by syndrome and … -
Classification of Emergency Department Syndromic Data for Seasonal Influenza Surveillance
Content Type: Abstract
We evaluated several classifications of emergency department (ED) syndromic data to ascertain best syndrome classifications for ILI.… with ED data. We used 6 classifications of ILI ED visit data for this analysis: (1) A chief complaint with …