Sofiev Mikhail, Palamarchuk Yuliia, Bédard Annabelle, Basagana Xavier, Anto Josep M, Kouznetsov Rostislav, Urzua Rodrigo Delgado, Bergmann Karl Christian, Fonseca Joao A, De Vries Govert, Van Erd Michiel, Annesi-Maesano Isabella, Laune Daniel, Pépin Jean Louis, Jullian-Desayes Ingrid, Zeng Stephane, Czarlewski Wienczyslawa, Bousquet Jean
Finnish Meteorological Institute (FMI), Helsinki 00560, Finland.
Barcelona Institute for Global Health, Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain.
Chin Med J (Engl). 2020 Jul 5;133(13):1561-1567. doi: 10.1097/CM9.0000000000000916.
This review analyzes the state and recent progress in the field of information support for pollen allergy sufferers. For decades, information available for the patients and allergologists consisted of pollen counts, which are vital but insufficient. New technology paves the way to substantial increase in amount and diversity of the data. This paper reviews old and newly suggested methods to predict pollen and air pollutant concentrations in the air and proposes an allergy risk concept, which combines the pollen and pollution information and transforms it into a qualitative risk index. This new index is available in an app (Mobile Airways Sentinel NetworK-air) that was developed in the frame of the European Union grant Impact of Air POLLution on sleep, Asthma and Rhinitis (a project of European Institute of Innovation and Technology-Health). On-going transformation of the pollen allergy information support is based on new technological solutions for pollen and air quality monitoring and predictions. The new information-technology and artificial-intelligence-based solutions help to convert this information into easy-to-use services for both medical practitioners and allergy sufferers.
本综述分析了花粉过敏患者信息支持领域的现状和近期进展。几十年来，患者和过敏症专科医生可获取的信息仅包括花粉计数，这固然重要但并不充分。新技术为大幅增加数据量和多样性铺平了道路。本文回顾了预测空气中花粉和空气污染物浓度的新旧方法，并提出了一种过敏风险概念，该概念将花粉和污染信息结合起来，并将其转化为定性风险指数。这个新指数可在一款应用程序（移动气道哨兵网络-空气）中获取，该应用程序是在欧盟资助的“空气污染对睡眠、哮喘和鼻炎的影响”（欧洲创新与技术研究所-健康项目）框架内开发的。花粉过敏信息支持的持续变革基于花粉和空气质量监测及预测的新技术解决方案。基于新信息技术和人工智能的解决方案有助于将这些信息转化为供医生和过敏患者使用的便捷服务。
