Displaying results 185 - 192 of 255
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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… (Massachusetts and Boston) Highlights: (a) dynamic-moving training window, (b) automatic feature selection, (c) … Jon Bickel, and Ben Reis Split data for modeling Training/Fitting Testing In collaboration with: Sam Tideman, … -
Lessons Learned from a National Capitol Region Syndromic Surveillance Tabletop Exercise, Spring 2005
Content Type: Abstract
This paper describes lessons learned from a regional tabletop exercise (TTX) of the National Capital Region (NCR) Syndromic Surveillance Network, from the perspective of the Maryland Department of Health and Mental Hygiene (DHMH).… cross-jurisdictional alerting protocol; more extensive training of those who monitor ESSENCE, such as alerting to … -
Evaluation of a Syndromic Surveillance System Based on General Practitioner's Data, SOS Medecins Bordeaux
Content Type: Abstract
To describe and evaluate the SOS Medecins Bordeaux syndromic surveillance system .… Aquitaine, Bordeaux, France, 2French Field Epidemiology Training Programme; French Institute for Public Health … -
Preliminary Findings from the BioSense Evaluation Project
Content Type: Abstract
In October 2006, the Centers for Disease Control and Prevention funded four institutions, including Emory University, to conduct evaluations of the BioSense surveillance system. These evaluations include investigations of situations… read more… better public communications capacity, and bene- fits of training in incident command procedures. Interviews for … -
Enhanced Surveillance Improved Timeliness and Sensitivity at the FIFA 2006 World Cup in Germany
Content Type: Abstract
Security threats and the recent emergence of avian influenza in Europe have heightened the profile of and need for a good surveillance strategy during such events. The two main rationales for enhanced infectious disease surveillance at mass events… read more… Germany 2 European Programm on Intervention Epidemiology Training (EPIET) Objective In this abstract, we describe the … -
Where are the data? Accuracy of automated EHR reporting
Content Type: Abstract
Over 300 independent practices transmit monthly quality reports to a data warehouse using an automated process to summarize patient information into quality measures. All practices have implemented an EHR that captures clinical information to be… read more… Methods A total of 82 small practices received training on document- ing in the EHR to maximize performance … measures generally undercount performance. Despite train- ing, providers do not consistently document smoking … -
Comparison of Aberration Detection Algorithms for Syndromic Surveillance
Content Type: Abstract
This paper describes a study of various aberration detection algorithms currently used in syndromic surveillance and one based on artificial neural networks developed at Guelph. The goal of the research is not to select one ìwinningî algorithm but… read more… By applying the moving average algorithm to a set of training data, various thresholds can be tested that yield … -
Design and development of a standards-based model to publish public health reporting criteria
Content Type: Abstract
State laws mandate clinicians and laboratories to report occurrences of reportable diseases to public health entities. For this purpose, a set of case-reporting specifications are published and maintained by public health departments… read more… Translational Research in Public Health Informatics, NLM Training Grant # 5T15LM007124 (DR). Reference 1 M’ikanatha …