The EYWA (Early Warning System for Mosquito-Borne Diseases) system is an innovative, scalable, and sustainable system in the field of epidemics, developed within the EuroGEO Action Group for Epidemics in five European countries and won first prize for early warning systems for epidemics from the European Innovation Council. The award was officially announced by the European Innovation Council on January 17, 2022. The EYWA research partnership consists of 15 research institutions and public and private mosquito control agencies from five European countries (Greece, Italy, France, Germany, and Serbia), with a significant contribution from Eco-Development, and coordination by the BEYOND Center of Excellence of the National Observatory of Athens.
Since 2010 and the emergence of the West Nile virus in Central Macedonia, with approximately 20% of all WNV cases in the European Union since then, Eco-development began systematically collecting entomological, epidemiological, and observational data. In 2016, in collaboration with the company EHEO, it developed an electronic platform for real-time field data entry. In 2018, it began developing machine learning tools for targeted actions to combat larvae and adult mosquitoes and to provide information on how to deal with the West Nile virus primarily and nuisance secondarily.
From 2020 to 2025, Ecodevelopment proceeded with the optimization and pilot operation of three forecasting models (BoL, BAd, BAR) and three applications (Mosquito Vision, Urban Vision, Water Vision). All these tools fall within the logic of predictive modeling, and from 2026 onwards, we are now targeting prescriptive modeling methodologies, which will be developed as part of the three-year research program (2026-2028) ebite Next, funded by the Action “Research Innovation-Intervention I” (reference announcement).
The specific implementation of the prescriptive modeling plan is a continuation of the EYWA award and is part of the company’s systematic effort to digitally transform and integrate the use of artificial intelligence methodologies within the company.