Synergies Between Human and Animal Health Syndromic Surveillance: Triple-S Outputs

The Triple-S project (Syndromic Surveillance Systems in Europe,, co-financed by the European Commission and involving twenty four organizations from fourteen countries was launched in September 2010 with the following objectives 1) performing an inventory of existing or planned SyS systems in Europe both in animal and public health, 2) building a network of experts involved in SyS 3) producing guidelines to implement SyS systems, 4) developing synergies between human and animal health SyS systems.

July 10, 2018

SurSaUD Software: A Tool to Support the Data Management, the Analysis and the Dissemination of Results from the French Syndromic Surveillance System

The French syndromic surveillance system SurSaUD was set up by the French institute for public health surveillance (InVS) in 2004. The system is based on three main data sources: 1) the attendances in the Emergency departments (ED), 2) the consultations to emergency General Practitioners’ associations SOS Médecins, 3) the mortality data from civil status offices and e-certificates.

July 02, 2018

Inventory of syndromic surveillance systems in Europe by the Triple-S Project

Triple-S (Syndromic Surveillance Survey, Assessment towards Guidelines for Europe) was launched in 2010 for a 3-year period. Co-financed by the European Commission through the Executive Agency for Health and Consumers, the project is coordinated by the French Institute for Public Health Surveillance and involves 24 organisations from 13 countries. Both human and veterinary syndromic surveillance are considered.



May 02, 2019

Syndromic Surveillance and Climate Change, a Possible Use?

This paper assesses the possible interest of using of a syndromic surveillance system based on emergency departments (ED) and crude mortality for monitoring health effects of climate changes (CC).

March 26, 2019

Comparison of the Performances of Statistical Methods to Detect Outbreaks

The aim of the study is to evaluate the detection properties of different algorithms across a range of outbreak and time series characteristics.

July 30, 2018


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