Imagine a forest as a protective shield; when we chop it down or damage it, that shield breaks, and viruses from wild animals can jump to humans more easily. This work tracks how changing landscapes create 'hotspots' for diseases. By mapping these areas, we can predict where the next outbreak might start before it happens.
Companies and governments struggle to predict where the next zoonotic disease will emerge. Current systems are reactive rather than preventive, leading to massive economic losses during pandemics.
A system for risk mapping and forecasting scenarios based on remote sensing, GIS analysis, and biological sampling of rodents and vectors.
If you are an insurance provider dealing with unpredictable pandemic-related claims — this project developed risk mapping and forecasting scenarios that identify high-risk zones. This allows for more accurate actuarial pricing based on ecological health.
If you are a consultancy dealing with corporate land acquisition in tropical regions — this project developed a method to link land use changes to zoonotic risk. You can provide clients with evidence-based safety assessments for new site developments.
If you are a software firm dealing with early warning systems for health ministries — this project developed data on rodent and vector-borne disease links to landscape structures. This data can be integrated into digital monitoring tools to alert authorities of emerging risks.
Based on available project data, no pricing or cost structures for the resulting tools are provided as this is a research-funded project.
The project uses remote sensing and GIS analysis across 11 countries, suggesting the methodology is designed for large-scale geographic application.
Based on available project data, specific licensing terms are not mentioned, though the project aims to create an online knowledge platform for various organizations.
The project aligns with pandemic prevention goals and works with the WHO Health Emergency programme, which may influence future international health regulations.
The project is active from 2024-01-01 to 2027-12-31, meaning final results are expected by the end of 2027.
The consortium is heavily academic, consisting of 11 universities and 3 research institutes. With only 1 industry partner and 1 SME, the project is driven by scientific discovery rather than immediate commercialization. However, the geographic reach is significant, spanning 11 countries across Europe and the Americas, providing a massive data set for global health modeling.
Contact Charité - Universitätsmedizin Berlin for inquiries regarding zoonotic risk mapping.
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