Displaying results 1 - 7 of 7
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Improving ILI Surveillance using Hospital Staff Influenza-like Absence (ILA)
Content Type: Abstract
Surveillance of influenza in the US, UK and other countries is based primarily on measures of influenza-like illness (ILI), through a combination of syndromic surveillance systems, however, this method may not capture the full spectrum of illness or… read more -
Comparison of statistical algorithms for syndromic surveillance aberration detection
Content Type: Abstract
Syndromic surveillance involves monitoring big health datasets to provide early warning of threats to public health. Public health authorities use statistical detection algorithms to interrogate these datasets for aberrations that are indicative of… read more -
Updating syndromic surveillance baselines following public health interventions
Content Type: Abstract
Public Health England's syndromic surveillance service monitor presentations for gastrointestinal illness to detect increases in health care seeking behaviour driven by infectious gastrointestinal disease. We use regression models to create… read more -
What value can Google search data add to existing syndromic surveillance systems?
Content Type: Abstract
Globally, there have been various studies assessing trends in Google search terms in the context of public health surveillance1. However, there has been a predominant focus on individual health outcomes such as influenza, with limited evidence on… 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 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