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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

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

摘要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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abstractsThis 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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作者 Sofiev Mikhail [1] Palamarchuk Yuliia [1] Bédard Annabelle [2] Basagana Xavier [3] Anto Josep M. [3] Kouznetsov Rostislav [1] Urzua Rodrigo Delgado [1] Bergmann Karl Christian [4] Fonseca Joao A. [5] De Vries Govert [6] Van Erd Michiel [6] Annesi-Maesano Isabella [7] Laune Daniel [8] Pépin Jean Louis [9] Jullian-Desayes Ingrid [9] Zeng Stephane [10] Czarlewski Wienczyslawa [11] Bousquet Jean [12] 学术成果认领
作者单位 Finnish Meteorological Institute (FMI), Helsinki 00560, Finland [1] Barcelona Institute for Global Health, Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER) Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain [2] Barcelona Institute for Global Health, Centre for Research in Environmental Epidemiology (CREAL), Barcelona 08003, Spain; Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBER) Epidemiología y Salud Pública (CIBERESP), Barcelona 08003, Spain; Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain; Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona 08003, Spain [3] Charité - Universit?tsmedizin Berlin, Corporate Member of Freie Universit?t Berlin, Humboldt-Uniersit?t zu Berlin and Berlin Institute of Health, Comprehensive Allergy-Centre, Department of Dermatology and Allergy, Berlin 10117, Germany [4] Center for Health Technology and Services Research (CINTESIS), Center for Research in Health Technology and Information Systems, Faculdade de Medicina da Universidade do Porto; and Medida, Lda Porto s/n 4200-450, Portugal [5] Peercode BV, Geldermalsen 4191 NW, The Netherlands [6] Epidemiology of Allergic and Respiratory Diseases Department, Institute Pierre Louis of Epidemiology and Public Health, INSERM and Sorbonne Université, Medical School Saint Antoine, Paris 75571, France [7] KYomed Innovation, Montpellier 34184, France [8] Université Grenoble Alpes, Laboratoire HP2, Grenoble, INSERM, U1042 and CHU de Grenoble, Grenoble 38000, France [9] Bull DSAS, Echirolles 38130, France [10] Medical Consulting Czarlewski, Levallois, and MASK-air, Montpellier 92300, France [11] University Hospital Montpellier, Montpellier 34000, France; Contre les Maladies Chroniques pour un Vieillissement Actif en Languedoc Roussillon-France, Montpellier, France; Charité, Universit?tsmedizin Berlin, Humboldt-Universit?t zu Berlin, and Berlin Institute of Health, Comprehensive Allergy Center, Department of Dermatology and Allergy, Berlin 10117, Germany [12]
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DOI 10.1097/CM9.0000000000000916
发布时间 2020-07-05(万方平台首次上网日期,不代表论文的发表时间)
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中华医学杂志英文版

中华医学杂志英文版

2020年133卷13期

1561-1567页

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