• Mikhail Sofiev, Yuliia Palamarchuk, Annabelle Bédard, Xavier Basagana, Josep M Anto, Rostislav Kouznetsov, Rodrigo Delgado Urzua, Karl Christian Bergmann, Joao A Fonseca, Govert De Vries, Michiel Van Erd, Isabella Annesi-Maesano, Daniel Laune, Jean Louis Pépin, Ingrid Jullian-Desayes, Stephane Zeng, Wienczyslawa Czarlewski, and Jean Bousquet.
• Finnish Meteorological Institute (FMI), Helsinki 00560, Finland.
• Chin. Med. J. 2020 Jul 5; 133 (13): 156115671561-1567.

AbstractThis 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.

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