Displaying results 777 - 784 of 4177
-
The Electronic Support for Public Health (ESP) Project: Automated Detection and Electronic Reporting of Notifiable Diseases
Content Type: Abstract
Clinician reporting of notifiable diseases has historically been slow, labor intensive, and incomplete. Manual and electronic laboratory reporting (ELR) systems have increased the timeliness, efficiency, and completeness of… read more -
The Impact of Hurricane Katrina Evacuees from Louisiana and Mississippi on Georgia Emergency Departments: Syndromic Surveillane and Disasters
Content Type: Abstract
On August 29, 2005, Hurricane Katrina made landfall just east of New Orleans, LA at 6:10AM CST and again at the LA/MS border at 10:00AM CST as a Category 3 hurricane, causing mass destruction along their coastlines. The devastation in LA and MS… read more -
The New Real Time Surveillance System within the French Forces in French Guiana
Content Type: Abstract
The development of a real time surveillance system for Forces on duty areas is one of the 5 initiatives of the November 2002 Prague’s NATO meeting. The French Military Health Service has decided to implement a military demonstrator within Forces in… read more -
The New York State BioSense Sentinel Alert Experience
Content Type: Abstract
In addition to monitoring Emergency Department chief complaint data and pharmacy sales as indicators of outbreaks, the New York State Department of Health (NYSDOH) Syndromic Surveillance System also monitors information from the… read more -
The New York State Department of Health’s Syndromic Surveillance System
Content Type: Abstract
The New York State Department of Health (NYSDOH) Syndromic Surveillance System consists of five components: 1. Emergency Department (ED) Phone Call System monitors unusual events or clusters of illnesses in the EDs of participating hospitals;… read more -
The NGram CC Classifier: A Novel Method of Automatically Creating CC Classifiers Based on ICD9 Groupings
Content Type: Abstract
Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) to syndromes. ICD9 code data may also be used to develop visit classifiers for syndromic surveillance but… read more -
A Bayesian Hierarchical Model for Estimating Influenza Epidemic Severity
Content Type: Abstract
Timely monitoring and prediction of the trajectory of seasonal influenza epidemics allows hospitals and medical centers to prepare for, and provide better service to, patients with influenza. The CDC’s ILINet system collects data on influenza-like… read more -
The Performance of a NGram Classifier for Patients' Chief Complaint Based on a Computerized Pick List Entry and Free Text in an Italian Emergency Department
Content Type: Abstract
Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) and ICD code data to syndromes. The triage nurse note (NN) has also been used for… read more