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Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe
- Source :
- Science Advances, 7(13). AMER ASSOC ADVANCEMENT SCIENCE, Science Advances, Online: 2375-2548
- Publication Year :
- 2021
- Publisher :
- AMER ASSOC ADVANCEMENT SCIENCE, 2021.
-
Abstract
- Hay fever patients can be helped in managing their symptoms by predicting the severity of the upcoming grass pollen seasons.<br />Allergic rhinitis is an inflammation in the nose caused by overreaction of the immune system to allergens in the air. Managing allergic rhinitis symptoms is challenging and requires timely intervention. The following are major questions often posed by those with allergic rhinitis: How should I prepare for the forthcoming season? How will the season’s severity develop over the years? No country yet provides clear guidance addressing these questions. We propose two previously unexplored approaches for forecasting the severity of the grass pollen season on the basis of statistical and mechanistic models. The results suggest annual severity is largely governed by preseasonal meteorological conditions. The mechanistic model suggests climate change will increase the season severity by up to 60%, in line with experimental chamber studies. These models can be used as forecasting tools for advising individuals with hay fever and health care professionals how to prepare for the grass pollen season.
- Subjects :
- Atmospheric Science
Multidisciplinary
010504 meteorology & atmospheric sciences
fungi
Climate change
SciAdv r-articles
food and beverages
macromolecular substances
010501 environmental sciences
Biology
medicine.disease
01 natural sciences
Grass pollen
Research Methods
medicine
otorhinolaryngologic diseases
Hay fever
Northwest europe
Research Articles
0105 earth and related environmental sciences
Demography
Research Article
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Science Advances, 7(13). AMER ASSOC ADVANCEMENT SCIENCE, Science Advances, Online: 2375-2548
- Accession number :
- edsair.doi.dedup.....fee7ff5ccbe6f49f895f277c4d0a442b