دورية أكاديمية
Pollen forecasting and its relevance in pollen allergen avoidance
العنوان: | Pollen forecasting and its relevance in pollen allergen avoidance |
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المؤلفون: | Suanno C., Aloisi I., Fernandez-Gonzalez D., Del Duca S. |
المساهمون: | Suanno C., Aloisi I., Fernandez-Gonzalez D., Del Duca S. |
سنة النشر: | 2021 |
المجموعة: | IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
مصطلحات موضوعية: | Aeroallergen, Allergen avoidance, Pollen, Pollen forecasting, Pollinosi, Allergen, Human, Quality of Life, Asthma, Rhinitis, Allergic, Seasonal |
الوصف: | Pollinosis and allergic asthma are respiratory diseases of global relevance, heavily affecting the quality of life of allergic subjects. Since there is not a decisive cure yet, pollen allergic subjects need to avoid exposure to high pollen allergens concentrations. For this purpose, pollen forecasting is an essential tool that needs to be reliable and easily accessible. While forecasting methods are rapidly evolving towards more complex statistical and physical models, the use of simple and traditional methods is still preferred in routine predictions. In this review, we summarise and explain the main parameters considered when forecasting pollen, and classify the different forecasting methods in two groups: observation-based and process-based. Finally, we compare these approaches based on their usefulness to allergic patients, and discuss possible future developments of the field. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | ELETTRONICO |
اللغة: | English |
العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/33894233; info:eu-repo/semantics/altIdentifier/wos/WOS:000690867100012; volume:200; firstpage:1; lastpage:15; numberofpages:15; journal:ENVIRONMENTAL RESEARCH; http://hdl.handle.net/11585/853038Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85108206303; https://www.sciencedirect.com/science/article/abs/pii/S0013935121004448?via=ihubTest |
DOI: | 10.1016/j.envres.2021.111150 |
الإتاحة: | https://doi.org/10.1016/j.envres.2021.111150Test http://hdl.handle.net/11585/853038Test https://www.sciencedirect.com/science/article/abs/pii/S0013935121004448?via=ihubTest |
رقم الانضمام: | edsbas.AEF7D5AE |
قاعدة البيانات: | BASE |
DOI: | 10.1016/j.envres.2021.111150 |
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