Displaying results 1 - 7 of 7
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A Bayesian Approach to Characterize Hong Kong Influenza Surveillance Systems
Content Type: Abstract
Syndromic surveillance has been widely used in influenza surveillance worldwide. However, despite the potential benefits created by the large volume of data, biases due to the changes in healthcare seeking behavior and physicians’ reporting behavior… read more -
Evaluation of Emergency Department Syndromic Surveillance Data by ICD-9 Code: Is There a Correlation between Chief Complaint and Final Emergency Department Diagnosis for Early Detection of Influenza-like Illness?
Content Type: Abstract
Syndromic surveillance aims to decrease the time to detection of an outbreak compared to traditional surveillance methods. Emergency department (ED) syndromic surveillance systems vary in their methodology and complexity and are usually based on… read more -
Evaluation of the DC Department of Health’s Syndromic Surveillance System
Content Type: Abstract
Immediately following September 11, 2001, the District of Columbia Department of Health began a syndromic surveillance program based on emergency room (ER) visits. ER logs are faxed on a daily basis to the health department,… read more -
Expert Meeting on Legal and Ethical Issues in Syndromic Surveillance
Content Type: Abstract
For syndromic and related surveillance systems to be effective public health tools, state and local health departments and CDC need access to a variety of types of health data. However, since the development and implementation of syndromic… read more -
Expert Meeting on Privacy, Confidentiality, and Other Legal and Ethical Issues in Syndromic Surveillance
Content Type: Abstract
For syndromic and related public health surveillance systems to be effective, state and local health departments and the Centers for Disease Control and Prevention (CDC) need access to a variety of types of health data. Since the development and… read more -
From Noise to Characterization Tool: Assessing Biases in Influenza Surveillance Methods Using a Bayesian Hierarchical Model
Content Type: Abstract
Infectious disease surveillance is a process, the product of which reflects both real illness and public awareness of the disease (Figure 1). According to our previous research studies [1,2], decisions made by patients, healthcare providers, and… read more -
Evaluating University syndromic surveillance systems during the 2009 H1N1 influenza pandemic
Content Type: Abstract
Syndromic surveillance has been widely adopted as a real-time monitoring tool in early response to disease outbreaks. In order to provide real-time information on the impact of 2009 H1N1 during the Fall 2009 semester, Georgetown … read more