Displaying results 1 - 8 of 14
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Data quality visualization for aggregate surveillance data with application to now-casting
Content Type: Webinar
This webinar will present a set of tools developed for visualizing data quality problems in aggregate surveillance data, in particular for data which accrues over a period of time. This work is based on a data quality analysis of aggregate data used… read more -
An Open Source Web Services Toolkit for Event Detection Algorithms
Content Type: Abstract
As major disease outbreaks are rare, empirical evaluation of statistical methods for outbreak detection requires the use of modified or completely simulated health event data in addition to real data. Comparisons of different techniques will be more… read more -
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 -
Gossamer Health: A meaningful, open-source approach to shared surveillance software
Content Type: Abstract
Cost-effective, flexible and innovative tools that integrate disparate data sets and allow sharing of information between geographically dispersed collaborators are needed to improve public health surveillance practice. Gossamer Health (Good Open… read more -
Evaluating a standard influenza-like illness syndrome definition across multiple sites in the distribute project: The ‘ILI-s’ Pilot
Content Type: Abstract
The Distribute project began in 2006 as a distributed, syndromic surveillance demonstration project that networked state and local health departments to share aggregate emergency department-based influenza-like illness (ILI) syndrome… read more -
The validity of emergency department influenza-like-illness (ILI) for laboratory-confirmed influenza in children
Content Type: Abstract
Syndromic surveillance systems use electronic health-related data to support near-real time disease surveillance. Over the last 10 years, the use of ILI syndromes defined from emergency department (ED) data has become an increasingly accepted… read more -
How good is your data?
Content Type: Abstract
Distribute is a national emergency department syndromic surveillance project developed by the International Society for Disease Surveillance (ISDS) for influenza-like-illness (ILI) that integrates data from existing state and local public health… read more -
Visualizing Data Quality: Tools and Views
Content Type: Abstract
Distribute is a national emergency department syndromic surveillance project developed by the International Society for Disease Surveillance for influenza-like-illness (ILI) that integrates data from existing state and local public health department… read more