A SYstem for reaL-time obserVation of Aeroallergens

Informations projet

SYLVA

N° de convention de subvention: 101086109

DOI

10.3030/101086109

Date de signature de la CE 17 Octobre 2022

Date de début 1 Janvier 2023

Date de fin 31 Decembre 2026

Financé au titre de

• Food, Bioeconomy Natural Resources, Agriculture and Environment

Coût total

€ 3 127 662,50

Contribution de l’UE

€ 2 998 677,25

Coordonné par

ILMATIETEEN LAITOS
Finland

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Websites, patent fillings, videos etc. (1)

Project website

The project website will be used as both the dissemination and management tool. The website will include:- Static information, referring to the project’s aim, objectives, methodology followed, pilots description, etc.- Dynamic information, such as news about forthcoming and completed project activities, events, etc.- Multimedia material, such as project presentations, videos from events, pilots, etc.- A secure private area for access by project partners, which will include a repository for the project documentation.The project website will be maintained during the whole project duration.

Other (2)

Improved identification algorithms

For flow cytometers (Swisens Poleno, Plair Rapid-E+), identification algorithms will be optimized and the reference database and algorithm libraries populated for pollen, fungal spores, and selected bacteria.For impactors (BAA-500), new identification algorithms will be created for fungal spores and the reference database and algorithm libraries populated for pollen and some fungal spores.For multi-wavelength depolarization lidars, the identification algorithm for operational use targeting at some pollen families will be upgraded and applied to selected EARLINET sites.

IT Infrastructure to host SYLVA data and run the algorithms

The IT infrastructure will consist of:1. Data storage solution- Level-0 Data storage for three SYLVA monitors will be at the LRZ (TUM-Med) supercomputing centre of the Munich universities. Newly developed /advanced databases and interfaces to application server(s) with high portability and virtualization for flexible exploitation beyond the project lifetime- Interface to level-1 data storage in the EBAS database hosted by NILU2. Application server for algorithms- Version-controlled Git-type storage for identification algorithms- Environment and computing capacity for CPU- (LRZ) and GPU- (FMI) based computations: operational and reanalysis with any algorithm stored in the project repository

Data sets, microdata, etc (2)

Pollen, fungal spore, and bacteria reference datasets

Reference datasets for training the identification algorithms (pollen, spores, bacteria) will be produced. Reference samples collected by WP 3 will be supplied to the monitors, datasets for each device stored for further algorithm development and evaluation.

Reference training datasets for all bioaerosol monitors

Reference datasets of northern, southern, and high-altitude species will be created:- Target species of pollen and fungal spores collected- Relevant fungal spores and bacteria grown.

Data Management Plan (1)

Data management plan

In alignment with the Open Research Data Pilot, a detailed Data Management Plan (DMP) will be developed by M6 and updated in M40. The DMP will describe the data management life cycle for all data collected, processed and/or generated by the project. As part of making FAIR research data, the DMP will include information on handling the data during and after the end of the project; what data will be collected, processed and/or generated; which methodology and standards will be applied; whether data will be shared/made open access; and how data will be curated and preserved (including after the end of the project).

Publications

Peer reviewed articles (14)

Real-time pollen identification using holographic imaging and fluorescence measurements

Auteurs: Erb, S., Graf, E., Zeder, Y., Lionetti, S., Berne, A., Clot, B., Lieberherr, G., Tummon, F., Wullschleger, P., and Crouzy, B.
Publié dans: Atmospheric Measurement Techniques, 2024, ISSN 1867-8548
Éditeur: Copernicus Publications
DOI: 10.5194/amt-17-441-2024

Influence of meteorological variables and air pollutants on measurements from automatic pollen sampling devices

Auteurs: González-Alonso, M., Oteros, J., Widmann, M., Maya-Manzano, J.M., Skjøth, C., Grewling, L., O'Connor, D., Sofiev, M., Tummon, F., Crouzy, B., Clot, B., Buters, J., Kadantsev, E., Palamarchuk, Y., Martinez-Bracero, M., Pope, F.D., Mills, S. et al.
Publié dans: Science of The Total Environment, 2024, ISSN 0048-9697
Éditeur: Elsevier
DOI: 10.1016/J.SCITOTENV.2024.172913

Classification accuracy and compatibility across devices of a new Rapid-E+ flow cytometer

Auteurs: Branko Sikoparija; Predrag Matavulj; Isidora Simovic; Predrag Radisic; Sanja Brdar; Vladan Minic; Danijela Tesendic; Evgeny Kadantsev; Julia Palamarchuk; Mikhail Sofiev
Publié dans: Atmospheric Measurement Techniques, 2024, ISSN 1867-8548
Éditeur: Copernicus Publications
DOI: 10.5194/egusphere-2024-187

EAACI guidelines on environmental science for allergy and asthma: The impact of short-term exposure to outdoor air pollutants on asthma-related outcomes and recommendations for mitigation measures

Auteurs: Agache I, Annesi-Maesano I, Cecchi L, Biagioni B, Fan Chung K, Clot B, D’Amato G, Damialis A, del Giacco S, Dominguez-Ortega J, Galàn C, Gilles S, Holgate S, Jeebhay M, Kazadzis S, Nadeau K, Papadopoulos N, Quirce S, Sastre J, Tummon F, et al.
Publié dans: Allergy, 2024, ISSN 1398-9995
Éditeur: John Wiley & Sons
DOI: 10.1111/ALL.16103

Digitally-enabled, person-centred care (PCC) in allergen immunotherapy: An ARIA-EAACI Position Paper

Auteurs: Pfaar, O., Sousa‐Pinto, B., Papadopoulos, N.G., Larenas‐Linnemann, D.E., Ordak, M., Torres, M.J., Mösges, R., Klimek, L., Zuberbier, T., Matricardi, P.M., Berger, U.E., Berger, M., Dramburg, S., Mahler, V., Toppila‐Salmi, S.K., Bergmann, K. et al.
Publié dans: Allergy, 2024, ISSN 1398-9995
Éditeur: John Wiley & Sons
DOI: 10.1111/all.16135

Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy

Auteurs: Brdar, S., Panić, M., Matavulj, P., Stanković, M., Bartolić, D., Šikoparija, B.
Publié dans: Scientific Reports, 2023, ISSN 2045-2322
Éditeur: Nature Portfolio
DOI: 10.1038/S41598-023-30064-6

Is exposure to pollen a risk factor for moderate and severe asthma exacerbations?

Auteurs: Annesi-Maesano I, Cecchi L, Biagioni B, Chung KF, Clot B, Collaud Coen M, D'Amato G, Damialis A, Dominguez-Ortega J, Galàn C, Gilles S, Holgate S, Jeebhay M, Kazadzis S, Papadopoulos NG, Quirce S, Sastre J, Tummon F, Traidl-Hoffmann C, et al.
Publié dans: Allergy, 2023, ISSN 1398-9995
Éditeur: John Wiley & Sons
DOI: 10.1111/ALL.15724

The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action.

Auteurs: Van Daalen, K.R., Tonne,C., Semenza,J.C., Rocklöv,J., Markandya,A., Dasandi,N., Jankin,S., Achebak, H., Ballester, J., Bechara, H., Beck, T.M., Callaghan, M.W., Carvalho, B.M., Chambers, J., Pradas,M.C., Courtenay,O., Dasgupta,S., Eckelman, M.J., et al.
Publié dans: The Lancet Public Health, 2024, ISSN 2468-2667
Éditeur: The Lancet
DOI: 10.1016/S2468-2667(24)00055-0

Shipping and algae emissions have a major impact on ambient air mixing ratios of non-methane hydrocarbons (NMHCs) and methanethiol on Utö Island in the Baltic Sea

Auteurs: H. Hellén; R. Kouznetsov; K. Kraft; J. Seppälä; M. Vestenius; J.-P. Jalkanen; L. Laakso; L. Laakso; H. Hakola
Publié dans: Atmospheric Chemistry and Physics, 2024, ISSN 1680-7324
Éditeur: Copernicus Publications
DOI: 10.5194/ACP-24-4717-2024

European pollen reanalysis, 1980–2022, for alder, birch, and olive

Auteurs: Mikhail Sofiev; Julia Palamarchuk; Rostislav Kouznetsov; Tamuna Abramidze; Beverley Adams-Groom; Célia M. Antunes; Arturo H. Ariño; Maximilian Bastl; Jordina Belmonte; Uwe E. Berger; Maira Bonini; Nicolas Bruffaerts; Jeroen Buters; Paloma Cariñanos; Sevcan Celenk; Valentina Ceriotti; Athanasios Charalampopoulos; Yolanda Clewlow; Bernard Clot; Aslog Dahl; Athanasios Damialis; Concepción De Linares; Letty A. De Weger; Lukas Dirr; Agneta Ekebom; Yalda Fatahi; María Fernández González; Delia Fernández González; Santiago Fernández-Rodríguez; Carmen Galán; Björn Gedda; Regula Gehrig; Carmi Geller Bernstein; Nestor Gonzalez Roldan; Lukasz Grewling; Lenka Hajkova; Risto Hänninen; François Hentges; Juha Jantunen; Evgeny Kadantsev; Idalia Kasprzyk; Mathilde Kloster; Katarzyna Kluska; Mieke Koenders; Janka Lafférsová; Poliana Mihaela Leru; Agnieszka Lipiec; Maria Louna-Korteniemi; Donát Magyar; Barbara Majkowska-Wojciechowska; Mika Mäkelä; Mirjana Mitrovic; Dorota Myszkowska; Gilles Oliver; Pia Östensson; Rosa Pérez-Badia; Krystyna Piotrowska-Weryszko; Marje Prank; Ewa Maria Przedpelska-Wasowicz; Sanna Pätsi; F. Javier Rodríguyez Rajo; Hallvard Ramfjord; Joanna Rapiejko; Victoria Rodinkova; Jesús Rojo; Luis Ruiz-Valenzuela; Ondrej Rybnicek; Annika Saarto; Ingrida Sauliene; Andreja Kofol Seliger; Elena Severova; Valentina Shalaboda; Branko Sikoparija; Pilvi Siljamo; Joana Soares; Olga Sozinova; Anders Stangel; Barbara Stjepanović; Erik Teinemaa; Svyatoslav Tyuryakov; M. Mar Trigo; Andreas Uppstu; Mart Vill; Julius Vira; Nicolas Visez; Tiina Vitikainen; Despoina Vokou; Elżbieta Weryszko-Chmielewska; Ari Karppinen
Publié dans: Scientific Data, 2024, ISSN 2052-4463
Éditeur: Springer Nature
DOI: 10.1038/S41597-024-03686-2

Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps

Auteurs: Maya-Manzano, J.M., Tummon, F., Abt, R., Allan, N., Bunderson, L., Clot, B., Crouzy, B., Daunys, G., Erb, S., Gonzalez-Alonso, M., Graf, E., Grewling, Ł., Haus, J., Kadantsev, E., Kawashima, S., Martinez-Bracero, M., Matavulj, P., Mills, S., et al.
Publié dans: Science of The Total Environment, 2023, ISSN 0048-9697
Éditeur: Elsevier
DOI: 10.1016/j.scitotenv.2022.161220

Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields

Auteurs: Sofiev M, Buters J, Tummon F, Fatahi Y, Sozinova O, Adams-Groom B, Bergmann KC, Dahl A, Gehrig R, Gilge S, Kofol Seliger A, Kouznetsov R, Lieberherr G, O’Connor D, Oteros J, Palamarchuk J, Ribeiro H, Werchan B, Werchan M, Clot B.
Publié dans: Science of The Total Environment, 2023, ISSN 0048-9697
Éditeur: Elsevier
DOI: 10.1016/J.SCITOTENV.2023.165800

Climate change, airborne allergens, and three translational mitigation approaches

Auteurs: Beggs, P.J., Clot, B., Sofiev, M., Johnston, F.H.
Publié dans: eBioMedicine, 2023, ISSN 2352-3964
Éditeur: Elsevier BV
DOI: 10.1016/j.ebiom.2023.104478

The role of automatic pollen and fungal spore monitoring across major end-user domains

Auteurs: Tummon, F., Adams-Groom, B., Antunes, C.M., Bruffaerts, N., Buters, J., Cariñanos, P., Celenk, S., Choël, M., Clot, B., Cristofori, A., Crouzy, B., Damialis, A., Fernández, A.R., González, D.F., Galán, C., Gedda, B., Gehrig, R., Gonzalez-Alonso, M. et al.
Publié dans: Aerobiologia, 2024, ISSN 1573-3025
Éditeur: Springer
DOI: 10.1007/S10453-024-09820-2