A demonstration project of Global Alliance against Chronic Respiratory Diseases: Prediction of interactions between air pollution and allergen exposure—the Mobile Airways Sentinel NetworK-Impact of air POLLution on Asthma and Rhinitis approach
Open Access
- 1 July 2020
- journal article
- review article
- Published by Ovid Technologies (Wolters Kluwer Health) in Chinese Medical Journal
- Vol. 133 (13), 1561-1567
- https://doi.org/10.1097/cm9.0000000000000916
Abstract
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.Keywords
This publication has 84 references indexed in Scilit:
- Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic ScalesPLoS Computational Biology, 2013
- Personalized pollen-related symptom-forecast information services for allergic rhinitis patients in EuropeAllergy, 2013
- Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of InnovationJournal of Medical Internet Research, 2013
- A flash-lamp based device for fluorescence detection and identification of individual pollen grainsReview of Scientific Instruments, 2013
- Influenza Forecasting with Google Flu TrendsPLOS ONE, 2013
- A numerical model of birch pollen emission and dispersion in the atmosphere. Model evaluation and sensitivity analysisInternational Journal of Biometeorology, 2012
- A numerical model of birch pollen emission and dispersion in the atmosphere. Description of the emission moduleInternational Journal of Biometeorology, 2012
- Detecting influenza epidemics using search engine query dataNature, 2009
- The Pannonian plain as a source of Ambrosia pollen in the BalkansInternational Journal of Biometeorology, 2009
- Models of the spring phenology of boreal and temperate trees: is there something missing?Tree Physiology, 2006