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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

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 increa...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386352/
https://www.ncbi.nlm.nih.gov/pubmed/32649522
http://dx.doi.org/10.1097/CM9.0000000000000916
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author 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
author_facet 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
author_sort Sofiev, Mikhail
collection PubMed
description 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.
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spelling pubmed-73863522020-08-05 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 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 Chin Med J (Engl) Review Articles 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. Wolters Kluwer Health 2020-07-05 2020-07-01 /pmc/articles/PMC7386352/ /pubmed/32649522 http://dx.doi.org/10.1097/CM9.0000000000000916 Text en Copyright © 2020 The Chinese Medical Association, produced by Wolters Kluwer, Inc. under the CC-BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Review Articles
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
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386352/
https://www.ncbi.nlm.nih.gov/pubmed/32649522
http://dx.doi.org/10.1097/CM9.0000000000000916
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