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Triple-S – the syndromic surveillance project

Triple-S is a project co-financed by the European commission through the Executive Agency for Health and Consumers. The project encompasses an inventory of existing and proposed syndromic surveillance systems in Europe, including country visits for an in-depth understanding of selected systems. The project will also provide scientific and technical guidance for the development and implementation of syndromic surveillance systems for both human and animal health. The aim of the project is to increase the European capacity for real-time or near-real time surveillance and monitoring of the health burden of expected and unexpected health related events. It is a three-year project and is coordinated by the French Institute for Public Health Surveillance (InVS). It started on September 1st, 2010 and involves twenty four organisations from thirteen countries

 

                                                                          

Visit our inventory of

human health

and

animal health

syndromic surveillance

 

 

Download the Triple-S flier

Download the Triple-S flier
 

The Triple-S definition of syndromic surveillance

Syndromic Surveillance is the real-time (or near real-time) collection, analysis, interpretation and dissemination of health-related data to enable the early identification of the impact (or absence of impact) of potential human or veterinary public-health threats which require effective public health action.

Syndromic surveillance is based not on the laboratory confirmed diagnosis of a disease but on non-specific health indicators including clinical signs, symptoms as well as proxy measures (e.g. absenteeism, drug sales, animal production collapse) that constitute a provisional diagnosis (or "syndrome").

The data are usually collected for purposes other than surveillance and, where possible, are automatically generated so as not to impose an additional burden on the data providers. This surveillance tends to be non specific yet sensitive and rapid, and can augment and complement the information provided by traditional test based surveillance systems.