Displaying results 505 - 512 of 4177
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Using Syndromic Surveillance Data to Identify Emerging Trends in Designer Drug Use
Content Type: Abstract
Syndromic surveillance of ED and PCC data has been widely used for the detection, tracking monitoring and monitoring of health events (e.g. bioterrorism, , disease outbreaks, environmental exposures) over the past decade. In recent years, these data… read more -
Evaluation of the Connecticut Hospital Emergency Department Syndromic Surveillance System for Monitoring of Community Gastrointestinal Illness
Content Type: Abstract
The HEDSS system was implemented in 2004 to monitor disease activity [1]. Twenty of 32 emergency departments (ED) and 1 urgent care clinic provide data. Chief complaints are routinely categorized into 8 syndromes. Although previous studies have… read more -
A Spatio-Temporal Bayesian Model for Syndromic Surveillance: Properties and Model Performance
Content Type: Abstract
Syndromic surveillance uses syndrome (a specific collection of clinical symptoms) data that are monitored as indicators of a potential disease outbreak. Advanced surveillance systems have been implemented globally for early detection of infectious… read more -
Unstructured Free-text Data and Meaningful Use
Content Type: Abstract
In 2010, as rules for the Centers for Medicaid and Medicare Electronic Heatlh Record (EHR) Incentive Programs (Meaningful Use)(1), were finalized, ISDS became aware of a trend towards new EHR systems capturing or sending emergency department (ED)… read more -
Biosense and Violence: Progress Toward Violence Prevention Using Syndromic Surveillance
Content Type: Abstract
Violence is now clearly recognized as a public health problem. Intentional injuries ranked among the top six leading causes of death for Illinois residents aged 1-44 in 2013. The Illinois Department of Public Health currently collects data on… read more -
Analysis of Zero-Inflated and Overdispersed Time Series: An Application to Syphilis Surveillance in the United States
Content Type: Abstract
Time series data involving counts are frequently encountered in many biomedical and public health applications. For example, in disease surveillance, the occurrence of rare infections over time is often monitored by public health officials, and the… read more -
Can we identify bellwether states with respect to syphilis incidence?
Content Type: Abstract
The time series of syphilis cases has been studied at the country and state level at the yearly basis, and it has been found that syphilis has a periodicity of approximately 10 years. However, to inform prevention efforts, it is important to… read more -
Who Should We Be Listening to? Applying Models of User Authority to Detecting Emerging Topics on the EIN
Content Type: Abstract
Emerging event detection is the process of automatically identifying novel and emerging ideas from text with minimal human intervention. With the rise of social networks like Twitter, topic detection has begun leveraging measures of user influence… read more