Imagine a weather app, but instead of rain, it predicts where diseases might jump from animals to humans as the planet warms. It uses AI to identify insects and portable labs to find germs in the field. This helps cities and farms prepare for health threats before they actually arrive.
Climate change is shifting where diseases live and how they spread, leaving health systems and farms unprepared for new outbreaks. Decision-makers lack the specific data needed to predict these risks and deploy resources efficiently.
A suite of pan-European disease risk indicators, AI-powered insect visual learning tools, and solar-powered portable labs for pathogen detection.
If you are a livestock health provider dealing with unpredictable animal disease outbreaks due to shifting climates — this project developed monitoring indicators and decision-support tools that allow for proactive preparedness and timely responses.
If you are an urban planner dealing with the health risks of rapid city growth and warming — this project developed nature-based solutions and urban infrastructure interventions to reduce disease risk.
If you are a diagnostic company dealing with the need for rapid field testing in remote areas — this project developed solar-powered lab suitcases for pathogen detection.
Based on available project data, specific pricing is not mentioned, but the project aims to create cost-beneficial prevention and control responses using open data.
The project is developing pan-European indicators and tools tested in hotspots across 5 countries, suggesting a design intended for regional and European scale.
Based on available project data, specific licensing terms are not provided, though the project emphasizes the use of open data.
The tools are designed to provide evidence for the European Green Deal and inform policy-makers on climate-induced disease risk.
The project period runs from 2022-06-01 to 2027-05-31.
The consortium is heavily weighted toward research and academia, with 8 universities and 7 research institutions. However, there is a modest industrial presence with 2 SMEs and 2 industry partners (11% ratio), indicating that while the project is science-led, there is a direct link to commercial application and technology transfer.
Contact UMEA UNIVERSITET in Sweden
Contact us to explore licensing for the solar-powered pathogen detection hardware.
