Displaying results 289 - 296 of 312
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Systematic Comparison of Algorithms Used in Syndromic Surveillance
Content Type: Abstract
Varied approaches have been used by syndromic surveillance systems for aberration detection. However, the performance of these methods has been evaluated only across a small range of epidemic characteristics. Objective… read more… Weighted Moving Average (EWMA) algorithms used by the ESSENCE system [3], with smoothing constants of 0.4 and 0.9; … -
Influenza mortality surveillance using a statewide electronic death registration system F Nebraska, 2009–2010
Content Type: Abstract
Public health surveillance using death data is critical for tracking the impact of diseases such as influenza. However, utility of such systems is compromised by delayed reporting, particularly when it is paper based. In Nebraska, funeral directors… read more… such as influenza-associated mortality. Additional training and refinement are needed to improve utility. … -
Temporo-spatial surveillance of influenza-like illness: preliminary results from the Idaho infectious disease reporting network
Content Type: Abstract
Current influenza-like illness (ILI) monitoring in Idaho is based on syndromic surveillance using laboratory data, combined with periodic person-to-person reports collected by Idaho state workers. This system relies on voluntary … read more… 2010. References 1 Lombardo JS, Burkom H, Pavlin J. II ESSENCE and the framework for evaluating syndromic … -
Estimating the incidence of influenza cases that present to emergency departments
Content Type: Abstract
Our laboratory previously established the value of over-the-counter (OTC) sales data for the early detection of disease outbreaks. We found that thermometer sales (TS) increased significantly and early during influenza (flu) season.… read more… randomly selecting a different subset of counties for training and testing. (Figure 1). Results Least squares … -
SyCo: A Probabilistic Machine Learning Method for Classifying Chief Complaints into Symptom and Syndrome Categories
Content Type: Abstract
Scientists have utilized many chief complaint (CC) classification techniques in biosurveillance including keyword search, weighted keyword search, and naïve Bayes. These techniques may utilize CC-to-syndrome or CC-… read more… of the relationship between words and symptoms given a training set of labeled chief complaints.5 To perform a … -
Mining Intensive Care Vitals for Leading Indicators of Adverse Health Events
Content Type: Abstract
The status of each Intensive Care Unit (ICU) patient is routinely monitored and a number of vital signs are recorded at sub-second frequencies which results in large amounts of data. We propose an approach to transform this stream of raw vital… read more… each type of these automatically extracted events using training data, which contain actual health alerts, in … -
Web Search Query Data to Monitor Dengue Epidemics: a New Model for Dengue Surveillance
Content Type: Abstract
With an estimated 500 million people infected each year, dengue ranks as one of the most significant mosquito-borne viral human diseases, and one of the most rapidly emerging vectorborne diseases. A variety of obstacles including bureaucracy and… read more… prior to model fitting. The final models, fit using a training subset of the data, were cross-validated against … -
Electronic Tracking of Influenza-like Illness Incidence in an Outpatient Population
Content Type: Abstract
Using an electronic health record (EHR) system, we tracked an outpatient population from a series of primary care providers to identify influenza-like illness (ILI) as part of a multi-state effort directed by the Centers for Disease Control and… read more… denomi- nator along with the number of ILI cases. Proper training and selecting the right practice played a large …