Back to Search Start Over

Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe

Authors :
Nicolas Bruffaerts
Georgina Brennan
Geoff M. Petch
Letty A. de Weger
J. Satchwell
Rachel N. McInnes
Yolanda Clewlow
Karen Rasmussen
Francis M. Rowney
Alexander Kurganskiy
Nicholas J. Osborne
Carsten Ambelas Skjøth
Helen M. Hanlon
Natasha de Vere
Gareth W. Griffith
Simon Creer
Benedict W. Wheeler
Matthew J. Hegarty
Charlotte Sindt
Caitlin Potter
Gilles Oliver
Catherine H. Pashley
Adam Barber
Beverley Adams-Groom
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.

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