Displaying results 201 - 208 of 535
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Collaborative Automation Reliably Remediating Erroneous Conclusion Threats (CARRECT)
Content Type: Abstract
Analyses produced by epidemiologists and public health practitioners are susceptible to bias from a number of sources including missing data, confounding variables, and statistical model selection. It often requires a great deal of expertise to… read more -
Comparing Prescription Sales, Google Trends and CDC Data as Flu Activity Indicators
Content Type: Abstract
In a 2007 survey of public health officials in the United States, International Society for Disease Surveillance found that only 7% used pharmacy prescription sales data for surveillance (1). There have been many reports suggesting effective use of… read more -
Comparing Syndromic Surveillance and Poison Center Data for Snake Bites in Missouri
Content Type: Abstract
In 2010, there were 4,796 snake bite exposures reported to Poison Centers nationwide (1). Health care providers frequently request help from poison centers regarding snake envenomations due to the unpredictability and complexity of prognosis and… read more -
Computerized Text Analysis to Enhance Automated Pneumonia Detection
Content Type: Abstract
Information about disease severity could help with both detection and situational awareness during outbreaks of acute respiratory infections (ARI). In this work, we use data from the EMR to identify patients with pneumonia, a key landmark of ARI… read more -
S&I Public Health Reporting Initiative: Improving Standardization of Surveillance
Content Type: Abstract
The S&I Framework is an Office of National Coordinator (ONC) initiative designed to support individual working groups who focus on a specific interoperability challenge. One of these working groups within the S&I Framework is the PHRI, which… read more -
SAGES Update: Electronic Disease Surveillance in Resource-Limited Settings
Content Type: Abstract
The new 2005 International Health Regulations (IHR), a legally binding instrument for all 194 WHO member countries, significantly expanded the scope of reportable conditions and are intended to help prevent and respond to global public health… read more -
Searching for Complex Patterns Using Disjunctive Anomaly Detection
Content Type: Abstract
Modern biosurveillance data contains thousands of unique time series defined across various categorical dimensions (zipcode, age groups, hospitals). Many algorithms are overly specific (tracking each time series independently would often miss early… read more -
Selecting Targeted Symptoms/Syndromes for Syndromic Surveillance in Rural China
Content Type: Abstract
Patients’ chief complaints (CCs) as a common data source, has been widely used in syndromic surveillance due to its timeliness, accuracy and availability. For automated syndromic surveillance, CCs always classified into predefined syndromic… read more