ArticleInternational journal of biometeorology2014
Development of personal pollen information-the next generation of pollen information and a step forward for hay fever sufferers.
Article in International journal of biometeorology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Hay Fever Symptom Burden From Grass Pollen: Implications for Public Health Warning Thresholds.GeoHealth · 2026Article
- Potential of real-time pollen data: perceived needs and symptom management among seasonal allergic rhinitis patients.Frontiers in allergy · 2026Article
- Aerobiology matters: Why people in the community access pollen information and how they use it.Clinical and translational allergy · 2025Article
- The present and future of digital health, digital medicine, and digital therapeutics for allergic diseases.Clinical and translational allergy · 2025Review
- Pollen grading prediction scale for patients with Artemisia pollen allergy in China: A 3-day moving predictive model.Clinical and translational allergy · 2023Article
- Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities.Clinical and translational allergy · 2022Article
- mHealth and telemedicine utility in the monitoring of allergic diseases.Frontiers in allergy · 2022Review
- Variability of grass pollen allergy symptoms throughout the season: Comparing symptom data profiles from the Patient's Hayfever Diary from 2014 to 2016 in Vienna (Austria).The World Allergy Organization journal · 2021Article
- Translating the Burden of Pollen Allergy Into Numbers Using Electronically Generated Symptom Data From the Patient's Hayfever Diary in Austria and Germany: 10-Year Observational Study.Journal of medical Internet research · 2020Observational
- The evaluation of pollen concentrations with statistical and computational methods on rooftop and on ground level in Vienna - How to include daily crowd-sourced symptom data.The World Allergy Organization journal · 2019Article
- The connection of pollen concentrations and crowd-sourced symptom data: new insights from daily and seasonal symptom load index data from 2013 to 2017 in Vienna.The World Allergy Organization journal · 2018Article
- Evaluation of Pollen Apps Forecasts: The Need for Quality Control in an eHealth Service.Journal of medical Internet research · 2017Article
- Air Pollution and Climate Change Effects on Allergies in the Anthropocene: Abundance, Interaction, and Modification of Allergens and Adjuvants.Environmental science & technology · 2017Article
- The medical and scientific responsibility of pollen information services.Wiener klinische Wochenschrift · 2017Article
- The grass pollen season 2015: a proof of concept multi-approach study in three different European cities.The World Allergy Organization journal · 2017Article
- Pollen information consumption as an indicator of pollen allergy burden.Wiener klinische Wochenschrift · 2016Article
- Personalized symptoms forecasting for pollen-induced allergic rhinitis sufferers.International journal of biometeorology · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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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Registered trials
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