Paper published: real-time spatio-temporal surveillance
We are pleased to announce that the latest paper using SAVSNET data has been published in Scientific Reports (nature research) describing a real-time spatio-temperal surveillance system with application to small companion animals. This research was a collaboration between University of Liverpool, University of Bristol and Lancaster University.
- This paper described the first real-time sydromic surveillance system that conducts integrated spatio-temperal analysis of data from a national network of veterinary premises for the early detection of disease outbreaks in small animals.
- The system's performance is illustrated using data related to gastrointestinal disease in dogs and cats.
- The system predicts the relative reporting rate of gastrointestinal disease amongst all presentations, and updates its predictions as new data accrue.
- The system was able to detect simulated outbreaks of varying spatial geometry, extent and severity.
- The system is flexible - it generates outcomes that are easily interpretable and the user can set their own outbreak detection thresholds.
- The system provides the foundation for prompt detection and control of health threats in companion animals.
Access the paper here
Access the infographic Real-time spatio-temporal surveillance
Read the Interview with Dr Alison Hale