Innovative Tools for Allergy Sufferers with Scientifically Driven Solutions

We have developed a range of tools designed to support those suffering from pollen allergies – ranging from personalised tools to general allergy symptom forecasts. By combining scientific knowledge with the latest technology and modelling capabilities, we have created unique products.

PASYFO

PASYFO is a personalised forecasting tool designed to predict allergy symptoms caused by pollen exposure. This information is available via the PASYFO mobile application,  which can be downloaded for Android or iOS. People who want to receive a personalised forecast of their allergy symptoms should first register in the Pollen Diary and provide information about their physical condition.  Access to the Pollen Diary is via the mobile app, as the diary is integrated into PASYFO. Providing information is easy and takes just a few minutes. The personalised forecast is generated once a user has logged data about their physical condition for at least 5 days. All personal data is confidential and protected.

Forecasts

The Allergy forecast tool provides insights into allergy prevalence and pollen allergy risk predictions across various regions of Europe. The Allergy Symptom Forecast model uses open CAMS and SILAM data alongside personalised allergy symptom records from the Pollen Diary. The map displays generalised information, which may not precisely reflect the symptoms experienced by individual users. For a personalised allergy risk forecast, users need to download the PASYFO mobile app and register their personal health data in the Pollen Diary. 

Although less precise than the personalised forecasts, this tool offers a broad overview of potential allergy risks across a region. It is perfect for those seeking general information on allergy trends in particular area.

The Pollen forecast predicts expected pollen levels in the air for the coming days, providing valuable insights for individuals interested in specific pollen concentrations. By analysing meteorological data and plant flowering periods, this tool delivers reliable pollen load forecasts using the SILAM and CAMS models, a highly advanced atmospheric dispersion models. The CAMS ensemble model and SILAM (System for Integrated modeLling of Atmospheric coMposition) simulate the transport and dispersion of pollen in the atmosphere, incorporating factors like wind, humidity, and temperature. The models accurately predict pollen concentrations up to several days in advance, offering a valuable resource for both individuals and health authorities in managing exposure to allergens.

The Pollen Resilience Index Forecast is a groundbreaking tool that combines data on air pollution, extreme weather conditions and pollen concentration forecasts to provide a comprehensive assessment of airborne allergen risks. This innovative index has been developed with the understanding that extreme weather events - such as heat waves, thunderstorms and rapid temperature changes - can worsen allergic symptoms. In addition, extreme meteorological conditions can have a significant impact on the amount and distribution of pollen.

To address these factors, the Pollen Resilience Index integrates data from the state-of-the-art Earth Observation Data Platform (EO4EU). This integration ensures that the index captures the full range of environmental variables that affect airborne allergens. The result is a model-based forecast that enables individuals, healthcare providers and urban planners to anticipate and mitigate the combined effects of allergens, pollution and weather on respiratory health, especially in extreme conditions.

Breathe easier with science: stay informed and stay protected with our comprehensive suite of allergy prevention tools!