The photo of birch pollen

We are an international team of scientists and specialists from Vilnius University Šiauliai Academy, University of Latvia, Medical University of Vienna and Finnish Meteorological Institute, working in the aerobiology field. We have investigated and analyzed the dispersion of air allergens (mainly pollen) and its impact on health for more than 10 years. Working together, we have developed a unique Personalized Allergy Symptoms Forecasting System (PASYFO). This system is included in the services of The Copernicus Atmosphere Monitoring Service (CAMS).

The activities of PASYFO require voluntary participation of persons affected by allergy. This is a great opportunity for everyone to contribute to scientific research and to participate in the development of innovative science products. To join, please email pasyfo@sa.vu.lt.

Vilnius University Šiauliai Academy has coordinated the pollen research network in Lithuania since 2003. Research methods meet the highest European standards, and specialists have international certificates confirming the specialist’s competence. During the period, both scientific research was conducted, and information dissemination events and trainings were organised.
The University of Latvia, in cooperation with local allergologists, conducts pollen load monitoring in Riga. Region-specific information is disseminated through various media channels.
The Medical University of Vienna coordinates the Po llen Diary, which is designed to relate persons’ daily allergy symptoms to the amount of pollen in the air. The team of scientists and researchers manages the European pollen and fungal spore database (EAN database), which is used for clinical research and simulation of pollen transport and spread forecasts.
The team of scientists from the Finnish Meteorological Institute has developed a System for Integrated Modelling of Atmospheric Composition (SILAM). It is applied in programmes for global and medium scale air quality assessment and emergency responses as well as addressing the problem of inverse dispersion. The model is adapted for forecasting allergenic pollen dispersal in Europe.