Displaying results 1 - 4 of 4
-
Using Bayesian Networks to Assist Decision-Making in Syndromic Surveillance
Content Type: Abstract
Syndromic surveillance systems often produce large numbers of detections due to excess activity (alarms) in their indicators. Few alarms are classified as alerts (public health events that may require a response). Decision-making in syndromic… read more -
Using Scenarios and Simulations to Validate Syndromic Surveillance Systems
Content Type: Abstract
Whilst the sensitivity and specificity of traditional laboratory-based surveillance can be readily estimated, the situation is less clear cut for syndromic surveillance. Syndromic surveillance indicators based upon presenting symptoms, chief… read more -
Evaluating Syndromic Surveillance Systems
Content Type: Abstract
While results from syndromic surveillance systems are commonly presented in the literature, few systems appear to have been thoroughly evaluated to examine which events can and cannot be detected, the time to detection and the efficacy of different… read more -
Using real-time syndromic surveillance to monitor the health effects of air pollution
Content Type: Abstract
The negative effect of air pollution on human health is well documented illustrating increased risk of respiratory, cardiac and other health conditions. Currently, during air pollution episodes Public Health England (PHE) syndromic surveillance… read more