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Development of personal pollen information—the next generation of pollen information and a step forward for hay fever sufferers

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Abstract

Pollen allergies affect a large part of the European population and are considered likely to increase. User feedback indicates that there are difficulties in providing proper information and valid forecasts using traditional methods of aerobiology due to a variety of factors. Allergen content, pollen loads, and pollen allergy symptoms vary per region and year. The first steps in challenging such issues have already been undertaken. A personalized pollen-related symptom forecast is thought to be a possible answer. However, attempts made thus far have not led to an improvement in daily forecasting procedures. This study describes a model that was launched in 2013 in Austria to provide the first available personal pollen information. This system includes innovative forecast models using bi-hourly pollen data, traditional pollen forecasts based on historical data, meteorological data, and recent symptom data from the patient’s hayfever diary. Furthermore, it calculates the personal symptom load in real time, in particular, the entries of the previous 5 days, to classify users. The personal pollen information was made available in Austria on the Austrian pollen information website and via a mobile pollen application, described herein for the first time. It is supposed that the inclusion of personal symptoms will lead to major improvements in pollen information concerning hay fever sufferers.

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Acknowledgments

We are indebted to those at the EAN (European Aeroallergen Network) for their friendly cooperation and the supply of pollen data. We also kindly thank two anonymous reviewers for their feedback.

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Authors and Affiliations

  1. Department of Ear, Nose and Throat Diseases, Medical University of Vienna, Wien, Austria

    Maximilian Kmenta, Katharina Bastl, Siegfried Jäger & Uwe Berger

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  1. Maximilian Kmenta
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  2. Katharina Bastl
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  3. Siegfried Jäger
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  4. Uwe Berger
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Correspondence to Katharina Bastl.

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Kmenta, M., Bastl, K., Jäger, S. et al. Development of personal pollen information—the next generation of pollen information and a step forward for hay fever sufferers. Int J Biometeorol 58, 1721–1726 (2014). https://doi.org/10.1007/s00484-013-0776-2

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  • DOI: https://doi.org/10.1007/s00484-013-0776-2

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