What is veterinary syndromic surveillance?
Veterinary 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 veterinary public-health threats which require effective public health action (Triple-S definition).
It is based on non-specific health indicators (e.g. meat inspection findings, anti-microbial sales or quality assurance data such as milk testing) that constitute a provisional diagnosis (or “syndrome”).
Veterinary syndromic surveillance is non-specific (by definition) but can be sensitive and timely thereby complementing the epidemiological intelligence provided by traditional test-based surveillance systems.
As consultants to the Swiss Federal Food Safety and Veterinary Office, we provided support to the Tiergesundheit (animal health) unit in conceptualising a veterinary syndromic surveillance system for the early detection of livestock disease outbreaks in Switzerland.
We have extensive experience with both data evaluation and statistical monitoring of a wide range of health-related data collected by testing laboratories, farmers, veterinarians, slaughterhouses, rendering plants, official veterinary services …
As the field of veterinary syndromic surveillance is still in relatively new, there is much to be learned from the field of human public health which have been developing syndromic methologies for over 15 years. By sitting on the International Society for Disease Surveillance‘s Research Committee , we have established strong links with an active community of experts on the cutting edge of surveillance practice, research, and technology.
Read more about our expertise in veterinary syndromic surveillance in the scientific articles below:
- Investigating the potential of reported cattle mortality data in Switzerland for syndromic surveillance (2015).
- Constructing a Syndromic Terminology Resource for Veterinary Text Mining (2015).
- A simulation study on the statistical monitoring of condemnation rates from slaughterhouses for syndromic surveillance: an evaluation based on Swiss data (2015).
- Comparison of whole carcass condemnation and partial carcass condemnation data for integration in a national syndromic surveillance system: The Swiss experience (2015).
- Using Bayes’ rule to define the value of evidence from syndromic surveillance (2014).
- A practical approach to designing syndromic surveillance systems for livestock and poultry (2014).