Search

Your search keyword '"Dupas, Eve"' showing total 3 results
Start Over Author "Dupas, Eve" Topic pollen
3 results on '"Dupas, Eve"'

1. Google Trends and pollen concentrations in allergy and airway diseases in France.

Author

Bousquet J, Onorato GL, Oliver G, Basagana X, Annesi-Maesano I, Arnavielhe S, Besancenot JP, Bosse I, Bousquet PJ, André Charpin D, Caillaud D, Demoly P, Devillier P, Mathieu-Dupas E, Fontaine JM, Just J, Anto JM, Fonseca J, Berger U, and Thibaudon M

Subjects
Female, France epidemiology, Humans, Hypersensitivity therapy, Male, Public Health Surveillance, Respiratory Tract Diseases therapy, Hypersensitivity epidemiology, Hypersensitivity immunology, Pollen immunology, Respiratory Tract Diseases epidemiology, Respiratory Tract Diseases immunology, Social Media
Abstract

Background: Google Trends (GTs) is a web-based surveillance tool that explores the searching trends of specific queries via Google. This tool proposes to reflect the real-life epidemiology of allergic rhinitis and asthma. However, the validation of GTs against pollen concentrations is missing at the country level., Objectives: In the present study, we used GTs (a) to compare the terms related to allergy in France, (b) to assess seasonal variations across the country for 5 years and (c) to compare GTs and pollen concentrations for 2016., Methods: Google Trends queries were initially searched to investigate the terms reflecting pollen and allergic diseases. 13- and 5-year GTs were used in France. Then, 5-year GTs were assessed in all metropolitan French regions to assess the seasonality of GTs. Finally, GTs were compared with pollen concentrations (Réseau National de Surveillance en Aerobiology) for 2016 in seven regions (GTs) and corresponding cities (pollen concentrations)., Results: The combination of searches for "allergy" as a disease, "pollen" as a disease cause and "ragweed" as a plant was needed to fully assess the pollen season in France. "Asthma" did not show any seasonality. Using the 5-year GTs, an annual and clear seasonality of queries was found in all regions depending on the predicted pollen exposure for spring and a summer peak but not for winter peaks. The agreement between GT queries and pollen concentrations is usually poor except for spring trees and grasses. Moreover, cypress pollens are insufficiently reported by GTs., Conclusions: Google Trends cannot predict the pollen season in France., (© 2019 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.)

Published
2019
Full Text
View/download PDF

2. POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project.

Author

Bousquet, Jean, Anto, Josep, Annesi-Maesano, Isabella, Dedeu, Toni, Dupas, Eve, Pépin, Jean-Louis, Eyindanga, Landry, Arnavielhe, Sylvie, Ayache, Julia, Basagana, Xavier, Benveniste, Samuel, Venturos, Nuria, Chan, Hing, Cheraitia, Mehdi, Dauvilliers, Yves, Garcia-Aymerich, Judith, Jullian-Desayes, Ingrid, Dinesh, Chitra, Laune, Daniel, Dac, Jade, Nujurally, Ismael, Pau, Giovanni, Picard, Robert, Rodo, Xavier, Tamisier, Renaud, Bewick, Michael, Billo, Nils, Czarlewski, Wienczyslawa, Fonseca, Joao, Klimek, Ludger, Pfaar, Oliver, and Bourez, Jean-Marc

Subjects
Asthma, Climate change, Pollen, Pollution, Rhinitis, mHealth
Abstract

Allergic rhinitis (AR) is impacted by allergens and air pollution but interactions between air pollution, sleep and allergic diseases are insufficiently understood. POLLAR (Impact of air POLLution on sleep, Asthma and Rhinitis) is a project of the European Institute of Innovation and Technology (EIT Health). It will use a freely-existing application for AR monitoring that has been tested in 23 countries (the Allergy Diary, iOS and Android, 17,000 users, TLR8). The Allergy Diary will be combined with a new tool allowing queries on allergen, pollen (TLR2), sleep quality and disorders (TRL2) as well as existing longitudinal and geolocalized pollution data. Machine learning will be used to assess the relationship between air pollution, sleep and AR comparing polluted and non-polluted areas in 6 EU countries. Data generated in 2018 will be confirmed in 2019 and extended by the individual prospective assessment of pollution (portable sensor, TLR7) in AR. Sleep apnea patients will be used as a demonstrator of sleep disorder that can be modulated in terms of symptoms and severity by air pollution and AR. The geographic information system GIS will map the results. Consequences on quality of life (EQ-5D), asthma, school, work and sleep will be monitored and disseminated towards the population. The impacts of POLLAR will be (1) to propose novel care pathways integrating pollution, sleep and patients literacy, (2) to study sleep consequences of pollution and its impact on frequent chronic diseases, (3) to improve work productivity, (4) to propose the basis for a sentinel network at the EU level for pollution and allergy, (5) to assess the societal implications of the interaction. MASK paper N°32.

Published
2018

3. POLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project

Author

Oliver Pfaar, Jean-Louis Pépin, Jean-Marc Bourez, Chitra Dinesh, Daniel Laune, Josep M. Antó, Michael Bewick, Jean Bousquet, E. Dupas, Giovanni Pau, Yves Dauvilliers, Landry Stéphane Zeng Eyindanga, Nils E. Billo, Julia Ayache, João Fonseca, Renaud Tamisier, Xavier Rodó, Sylvie Arnavielhe, Mehdi Cheraitia, Judith Garcia-Aymerich, Samuel Benveniste, Wienczyslawa Czarlewski, Ludger Klimek, Nuria Calves Venturos, Ismael Nujurally, Xavier Basagaña, Ingrid Jullian-Desayes, Jade Lu Dac, R. Picard, Isabella Annesi-Maesano, Hing Kin Chan, T. Dedeu, Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Universitaire de Nîmes (CHU Nîmes)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-European Innovation Partnership on Active and Healthy Ageing Reference Site (EIP on AHA), Commission Européenne-Commission Européenne-Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Vieillissement et Maladies chroniques : approches épidémiologique et de santé publique (VIMA), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), CIBER de Epidemiología y Salud Pública (CIBERESP), Universitat Pompeu Fabra [Barcelona] (UPF), Centre de Recherche en Informatique (CRI), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), HP2 : Hypoxie et physiopathologies cardiovasculaires et respiratoires., CHU de Grenoble , Centre Hospitalier Universitaire de Grenoble, France-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Networks and Performance Analysis (NPA), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Computer Science Department [Los Angeles] (UCLA), University of California [Los Angeles] (UCLA), University of California-University of California, Institució Catalana de Recerca i Estudis Avançats (ICREA), Hypoxie : Physiopathologie Respiratoire et Cardiovasculaire (HP2 ), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Bousquet, Jean, Anto, Josep M., Annesi-Maesano, Isabella, Dedeu, Toni, Dupas, Eve, Pépin, Jean-Loui, Eyindanga, Landry Stephane Zeng, Arnavielhe, Sylvie, Ayache, Julia, Basagana, Xavier, Benveniste, Samuel, Venturos, Nuria Calve, Chan, Hing Kin, Cheraitia, Mehdi, Dauvilliers, Yve, Garcia-Aymerich, Judith, Jullian-Desayes, Ingrid, Dinesh, Chitra, Laune, Daniel, Dac, Jade Lu, Nujurally, Ismael, Pau, Giovanni, Picard, Robert, Rodo, Xavier, Tamisier, Renaud, Bewick, Michael, Billo, Nils E., Czarlewski, Wienczyslawa, Fonseca, Joao, Klimek, Ludger, Pfaar, Oliver, and Bourez, Jean-Marc

Subjects
Pulmonary and Respiratory Medicine, Pollution, Machine learning, Pollution, Rhinitis, Connected Sensors, media_common.quotation_subject, Immunology, Population, Air pollution, medicine.disease_cause, 03 medical and health sciences, 0302 clinical medicine, Environmental health, medicine, Immunology and Allergy, Climate change, 030212 general & internal medicine, [SDV.IMM.ALL]Life Sciences [q-bio]/Immunology/Allergology, education, mHealth, Asma, media_common, Asthma, Rhinitis, [SDV.EE.SANT]Life Sciences [q-bio]/Ecology, environment/Health, Work productivity, Sleep disorder, education.field_of_study, business.industry, Sleep apnea, RC581-607, medicine.disease, 3. Good health, 030228 respiratory system, 13. Climate action, Pollen, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Immunologic diseases. Allergy, business
Abstract

International audience; Allergic rhinitis (AR) is impacted by allergens and air pollution but interactions between air pollution, sleep and allergic diseases are insufficiently understood. POLLAR (Impact of air POLLution on sleep, Asthma and Rhinitis) is a project of the European Institute of Innovation and Technology (EIT Health). It will use a freely-existing application for AR monitoring that has been tested in 23 countries (the Allergy Diary, iOS and Android, 17,000 users, TLR8). The Allergy Diary will be combined with a new tool allowing queries on allergen, pollen (TLR2), sleep quality and disorders (TRL2) as well as existing longitudinal and geolocalized pollution data. Machine learning will be used to assess the relationship between air pollution, sleep and AR comparing polluted and non-polluted areas in 6 EU countries. Data generated in 2018 will be confirmed in 2019 and extended by the individual prospective assessment of pollution (portable sensor, TLR7) in AR. Sleep apnea patients will be used as a demonstrator of sleep disorder that can be modulated in terms of symptoms and severity by air pollution and AR. The geographic information system GIS will map the results. Consequences on quality of life (EQ-5D), asthma, school, work and sleep will be monitored and disseminated towards the population. The impacts of POLLAR will be (1) to propose novel care pathways integrating pollution, sleep and patients' literacy, (2) to study sleep consequences of pollution and its impact on frequent chronic diseases, (3) to improve work productivity, (4) to propose the basis for a sentinel network at the EU level for pollution and allergy, (5) to assess the societal implications of the interaction. MASK paper N°32.

Published
2018
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results