دورية أكاديمية

Pollen forecasting and its relevance in pollen allergen avoidance

التفاصيل البيبلوغرافية
العنوان: Pollen forecasting and its relevance in pollen allergen avoidance
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