Add to ORKGSyndromic surveillance systems are commonly presented in the literature but few are rigorously evaluated. We present and test an evaluation framework to examine which events can and cannot be detected, the time to detection and the efficacy of different syndromic surveillance data streams. This was achieved using four national syndromic surveillance systems in England and simulating a number of possible disease events (e.g. outbreak of pandemic influenza, (Cryptosporidium) outbreak and deliberate anthrax release). This methodology can be widely adopted to provide more empirical analysis of the effectiveness of syndromic surveillance systems worldwide
3 March 2011 In the last decade, syndromic surveillance has increas-ingly been used worldwide for de...
ObjectiveTo investigate whether alternative statistical approaches can improve daily aberration dete...
Syndromic surveillance is a relatively new tool being explored for early detection of disease outbre...
Syndromic surveillance systems are commonly presented in the literature but few are rigorously evalu...
Abstract Background Syndromic surveillance complements traditional public health surveillance by col...
We used scenarios and simulations to validate the effectiveness of national syndromic surveillance s...
Surveillance systems need to be evaluated to understand what the system can or cannot detect. The me...
ObjectiveTo communicate the detection capabilities of syndromic surveillance systems to public healt...
<div><p>Introduction</p><p>Syndromic surveillance aims at augmenting traditional public health surve...
Introduction Syndromic surveillance aims at augmenting traditional public health surveillance with t...
Introduction Syndromic surveillance aims at augmenting traditional public health surveillance with t...
Timely response to health events such as emerg-ing diseases and outbreaks are a major public health ...
Syndromic surveillance is a form of surveillance that generates information for public health action...
This paper describes the national syndromic surveillance delivered by the Public Health England Real...
Syndromic surveillance (SS) data has predominantly been used for surveillance of infectious disease ...
3 March 2011 In the last decade, syndromic surveillance has increas-ingly been used worldwide for de...
ObjectiveTo investigate whether alternative statistical approaches can improve daily aberration dete...
Syndromic surveillance is a relatively new tool being explored for early detection of disease outbre...
Syndromic surveillance systems are commonly presented in the literature but few are rigorously evalu...
Abstract Background Syndromic surveillance complements traditional public health surveillance by col...
We used scenarios and simulations to validate the effectiveness of national syndromic surveillance s...
Surveillance systems need to be evaluated to understand what the system can or cannot detect. The me...
ObjectiveTo communicate the detection capabilities of syndromic surveillance systems to public healt...
<div><p>Introduction</p><p>Syndromic surveillance aims at augmenting traditional public health surve...
Introduction Syndromic surveillance aims at augmenting traditional public health surveillance with t...
Introduction Syndromic surveillance aims at augmenting traditional public health surveillance with t...
Timely response to health events such as emerg-ing diseases and outbreaks are a major public health ...
Syndromic surveillance is a form of surveillance that generates information for public health action...
This paper describes the national syndromic surveillance delivered by the Public Health England Real...
Syndromic surveillance (SS) data has predominantly been used for surveillance of infectious disease ...
3 March 2011 In the last decade, syndromic surveillance has increas-ingly been used worldwide for de...
ObjectiveTo investigate whether alternative statistical approaches can improve daily aberration dete...
Syndromic surveillance is a relatively new tool being explored for early detection of disease outbre...