Imagine a giant map that tracks how germs jump from wild animals to farm animals and then to people. This work figures out why some diseases spread faster when the environment changes, like during weird weather or migration shifts. It's like building an early warning system to stop outbreaks before they crash a farm's economy or make people sick.
High-priority animal diseases cause severe economic losses to farming and pose serious risks to human health. Current surveillance often fails to account for how global environmental changes shift disease transmission routes.
The project is building sensitive pathogen detection methods, analytical surveillance models, and a suite of user guides and training materials for disease control.
If you are a farming operation dealing with African swine fever or avian influenza — this project developed innovative strategies and tools that enhance the prevention and control of these diseases to reduce economic damages.
If you are a diagnostic company dealing with low detection rates of animal viruses — this project developed improved methods for sensitive and accurate identification of pathogens and their variants in complex environments.
If you are a health agency dealing with the risk of West Nile fever or other zoonoses — this project developed next-generation analytical approaches for optimized surveillance and management strategies.
Based on available project data, there is no specific pricing or cost information provided for the tools and strategies.
The project aims to deliver tools for farmers and health authorities, suggesting a design intended for practical, large-scale application in agriculture and public health.
Based on available project data, specific IP or licensing agreements are not mentioned; however, results are intended for conversion into user guides and training materials.
The project focuses on developing analytical approaches and user guides, but specific software integration details are not provided in the current data.
The project runs from 2023-05-01 to 2028-04-30, with the first 18 months focused on developing the necessary tools and methodologies.
The consortium is heavily weighted toward research and academia, with 7 research organizations and 4 universities. However, there is a 14% industry presence consisting of 2 industrial partners, including 1 SME, indicating a bridge between theoretical epidemiology and commercial application.
Contact the Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (INRAE) in France.
Contact SciTransfer to explore licensing opportunities for the upcoming diagnostic tool kits.
