Displaying results 17 - 24 of 32
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Modeling Disease Surveillance and Assessing its Effectiveness for Detection of Acute Respiratory Outbreaks in Resource-Limited Settings
Content Type: Abstract
A U.S. Department of Defense program is underway to assess health surveillance in resource-poor settings and to evaluate the Early Warning Outbreak Reporting System. This program has included several information-gathering trips,… read more… uses health and census data collected during the 2006 Lao visit and incorporates features of recently published agent- … Scenarios investigated were derived from the Lao site visit--the gain from adding EWORS capability in strategic … -
An Exploration of New Uses of Traditional Data within an Ecological Study: Air Quality Effects on Pediatric Asthma Exacerbation Analysis
Content Type: Abstract
Under a grant from the Centers for Disease Control and Prevention (CDC), the DC DOH established the Environmental Public Health Tracking Program (EPHTP) to monitor specific environmental and public health indicators and to investigate any… read more… addition, spatial analysis by zip code was performed. ED visit rates by zip code were derived using the 2000 US census data. ED visit data from zip codes with more than 30% of children in … -
Syndromic Prediction Power: Comparing Covariates and Baselines
Content Type: Abstract
The eleven syndrome classifications for clinical data records monitored by BioSense include rare events such as death or lymphadenitis and also common occurrences such as respiratory infections. BioSense currently uses two statistical methods for… read more… data for this paper consisted of daily military clinical visit count data from the Department of Defense (DoD) for … of 28, 56, and 112 days were used to make one-day-ahead visit count predictions. For each forecast, the baseline … -
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 … -
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 …