About MUST

The disease intelligence team of INRAE, CIRAD and LIRMM has developed the "Multi-source Surveillance Tool" (MUST). It is a platform for collecting, compiling and visualizing different sources of information relating to animal health events.

"MUST-AI" is the first part of the MUST tool. It centralises health information relating to HPAI cases detected in mammalian species (excluding human cases) since 01/01/2020. It includes outbreaks officially reported by the countries to WOAH in the World Animal Health Information System (WAHIS). In addition, it includes other alternative sources, such as media from the web and networks of health surveillance experts. Thus MUST-AI combines traditional surveillance systems and event-based surveillance systems.

Alternative sources included in MUST-AI:

  • Emerging Disease Surveillance Program (ProMED): A textual analysis algorithm has been developed to automatically extract cases reported by the emerging and re-emerging infectious diseases monitoring network led by the moderators of the program. The algorithm can identify the date of the event, the species concerned, the subtype of the virus and the location. The information thus collected in structured form (text file) may require manual correction.
  • PADI-web (Platform for Automated extraction of Disease Information from the web) is an automated biosurveillance system dedicated to the monitoring of online news sources (Google news) for the detection of animal health infectious events. PADI-web automatically collects news with customised queries, classifies them and extracts epidemiological information (diseases, dates, symptoms, hosts and locations).

The joint visualization of officially reported cases and cases identified by Promed's networks of moderators and web media allows for continuous and real-time monitoring of HPAI cases in mammals. It improves the overall understanding of the frequency and distribution of these unusual events.

Frequency of updates: daily (for Promed and Padiweb) and weekly for WAHIS.

Made by

With support from

Data Sources