Displaying results 297 - 304 of 1300
-
A Temporal Method for Outbreak Detection Using a Bayesian Network
Content Type: Abstract
Non-temporal Bayesian network outbreak detection methods only look at data from the most recent day. For example, PANDA-CDCA (PC) only looks at data from the last 24 hours to determine how likely an outbreak is occurring. PC… read more -
A Visual Analytics Toolkit for Evaluating Potential Syndromic Outbreaks
Content Type: Abstract
Our toolkit adds statistical trend analysis, interactive plots, and kernel density estimation to an existing spatio-temporal visualization platform. The goal of these tools is to provide both a quick assessment of the current… read more -
Absenteeism Among Employees in a Southeastern Ontario Hospital: A Novel Application of Syndromic Surveillance
Content Type: Abstract
Sickness absence is particularly pronounced within health care organizations where job demands and work environment expose workers to an increased risk of illness and injury, potentially leading to an inability to attend work.… read more -
Accounting for Acceleration of Disease Rates with Age in Biosurveillance Systems: The SIMPLE Method
Content Type: Abstract
Accurate and precise estimation of disease rates for a given population during a specified time frame is a major concern for public health practitioners and researchers in biosurveillance. Many diseases follow distinct patterns;… read more -
Accuracy versus Timeliness for Influenza Detection: A Comparison of Hospital Syndromic Surveillance Data with Discharge Data
Content Type: Abstract
Hospital syndromic surveillance data may be a useful tool in detecting increases in influenza-like-illness (ILI) and for monitoring seasonal trends or pandemic activity on a local level. A previous comparison of hospital… read more -
Emergency Department Syndromic Surveillance in Michigan: Routine Analysis and Beyond
Content Type: Training
This presentation shared by Michigan covers the introductory basics of syndromic surveillance. This is a part of a web based training that new users have to complete before getting access to the surveillance system in Michigan. -
Utilizing the Michigan Emergency Department Syndromic Surveillance System
Content Type: Training
This copy of an online module from Michigan detials the process of using syndromic surveillance in their state. Users must complete the module and pass the test at the end of the module to gain access to the system. -
Digital Epidemiology: designing machine learning approaches to combine Internet-based data sources to monitor and forecast disease activity in multiple locations and spatial resolutions
Content Type: Webinar
Presented May 24, 2018. Mauricio Santillana, MS, PhD describes machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic… read more