Displaying results 1 - 3 of 3
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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 -
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