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1. Pollen Concentration Data of Xanthium spp. Between 2014 and 2019 in Hungary

Author

Vojnich, Viktor József, Magyar, Donát, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Lu, Xinzheng, Series Editor, Lorencowicz, Edmund, editor, Huyghebaert, Bruno, editor, and Uziak, Jacek, editor

Published
2024
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2. Pollen Concentration of Ailanthus Altissima on the South Transdanubia Region in Hungary

Author

Vojnich, Viktor J., Ferencz, Árpád, Tóth, Tamás, Tempfli, Károly, Magyar, Donát, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Pascuzzi, Simone, editor, and Santoro, Francesco, editor

Published
2023
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5. Bioaerosols on the atmospheric super highway: An example of long distance transport of Alternaria spores from the Pannonian Plain to Poland

Author

Grewling, Łukasz, Magyar, Donat, Chłopek, Kazimiera, Grinn-Gofroń, Agnieszka, Gwiazdowska, Julia, Siddiquee, Asad, Ianovici, Nicoleta, Kasprzyk, Idalia, Wójcik, Magdalena, Lafférsová, Janka, Majkowska-Wojciechowska, Barbara, Myszkowska, Dorota, Rodinkova, Victoria, Bortnyk, Mykyta, Malkiewicz, Małgorzata, Piotrowska-Weryszko, Krystyna, Sulborska-Różycka, Aneta, Rybniček, Ondrej, Ščevková, Jana, Šikoparija, Branko, Skjøth, Carsten Ambelas, Smith, Matt, and Bogawski, Paweł

Published
2022
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10. Indoor air pollution, physical and comfort parameters related to schoolchildren's health: Data from the European SINPHONIE study

Author

Csobod, Éva, Szuppinger, Péter, Prokai, Réka, Farkas, Petur, Fuzi, Cecilia, Cani, Eduart, Draganic, Jasna, Mogyorosy, Eszter Réka, Korac, Zorica, de Oliveira Fernandes, Eduardo, Ventura, Gabriela, Madureira, Joana, Paciência, Inês, Martins, Anabela, Pereira, Ricardo, Ramos, Elisabete, Rudnai, Peter, Páldy, Anna, Dura, Gyula, Beregszászi, Tímea, Vaskövi, Éva, Magyar, Donát, Pándics, Tamás, Remény-Nagy, Zsuzsanna, Szentmihályi, Renáta, Udvardy, Orsolya, Varró, Mihály J., Kephalopoulos, Stylianos, Kotzias, Dimitrios, Barrero-Moreno, Josefa, Mehmeti, Rahmije, Vilic, Aida, Maestro, Daniel, Moshammer, Hanns, Strasser, Gabriela, Brigitte, Piegler, Hohenblum, Philipp, Goelen, Eddy, Stranger, Marianne, Spruy, Maarten, Sidjimov, Momchil, Hadjipanayis, Adamos, Katsonouri-Sazeides, Andromachi, Demetriou, Eleni, Kubinova, Ruzana, Kazmarová, Helena, Dlouha, Beatricia, Kotlík, Bohumil, Vabar, Helen, Ruut, Juri, Metus, Meelis, Rand, Kristiina, Järviste, Antonina, Nevalainen, Aino, Hyvarinen, Anne, Täubel, Martin, Järvi, Kati, Annesi-Maesano, Isabella, Mandin, Corinne, Berthineau, Bruno, Moriske, Heinz-Joern, Giacomini, Marcia, Neumann, Anett, Bartzis, John, Kalimeri, Krystallia, Saraga, Dikaia, Santamouris, Mattheos, Assimakopoulos, Margarita Niki, Asimakopoulos, Vasiliki, Carrer, Paolo, Cattaneo, Andrea, Pulvirenti, Salvatore, Vercelli, Franco, Strangi, Fabio, Omeri, Elida, Piazza, Silvia, D'Alcamo, Andrea, Fanetti, Anna Clara, Sestini, Piersante, Kouri, Magdalini, Viegi, Giovanni, Sarno, Giuseppe, Baldacci, Sandra, Maio, Sara, Cerrai, Sonia, Franzitta, Vincenzo, Bucchieri, Salvatore, Cibella, Fabio, Simoni, Marzia, Neri, Margherita, Martuzevičius, Dainius, Krugly, Edvinas, Montefort, Stephen, Fsadni, Peter, Brewczyński, Piotr Z., Krakowiak, Ewa, Kurek, Jolanta, Kubarek, Elżbieta, Wlazło, Agnieszka, Borrego, Carlos, Alves, Célia, Valente, Joana, Gurzau, Eugen, Rosu, Cristina, Popita, Gabriela, Neamtiu, Iulia, Neagu, Cristina, Norback, Dan, Bluyssen, Phylomena, Bohms, Michel, Van Den Hazel, Peter, Cassee, Flemming, de Bruin, Yuri Bruinen, Bartonova, Alena, Yang, Aileen, Halzlová, Katarína, Jajcaj, Michal, Kániková, Milada, Miklankova, Olga, Vítkivá, Marianna, Jovasević-Stojanovic, Milena, Zivkovic, Marija, Stevanovic, Zarko, Lazovic, Ivan, Stevanovic, Zana, Zivkovic, Zorica, Cerovic, Sofija, Jocic-Stojanovic, Jasmina, Mumovic, Dejan, Tarttelin, Paula, Chatzidiakou, Lia, Chatzidiakou, Evangelia, Dewolf, Marie-Christine, Baloch, Ramen Munir, Maesano, Cara Nichole, Christoffersen, Jens, Banerjee, Soutrik, and Gabriel, Marta

Published
2020
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14. Near-ground effect of height on pollen exposure

Author

Rojo, Jesús, Oteros, Jose, Pérez-Badia, Rosa, Cervigón, Patricia, Ferencova, Zuzana, Gutiérrez-Bustillo, A. Monserrat, Bergmann, Karl-Christian, Oliver, Gilles, Thibaudon, Michel, Albertini, Roberto, Rodríguez-De la Cruz, David, Sánchez-Reyes, Estefanía, Sánchez-Sánchez, José, Pessi, Anna-Mari, Reiniharju, Jukka, Saarto, Annika, Calderón, M. Carmen, Guerrero, César, Berra, Daniele, Bonini, Maira, Chiodini, Elena, Fernández-González, Delia, García, José, Trigo, M. Mar, Myszkowska, Dorota, Fernández-Rodríguez, Santiago, Tormo-Molina, Rafael, Damialis, Athanasios, Kolek, Franziska, Traidl-Hoffmann, Claudia, Severova, Elena, Caeiro, Elsa, Ribeiro, Helena, Magyar, Donát, Makra, László, Udvardy, Orsolya, Alcázar, Purificación, Galán, Carmen, Borycka, Katarzyna, Kasprzyk, Idalia, Newbigin, Ed, Adams-Groom, Beverley, Apangu, Godfrey P., Frisk, Carl A., Skjøth, Carsten A., Radišić, Predrag, Šikoparija, Branko, Celenk, Sevcan, Schmidt-Weber, Carsten B., and Buters, Jeroen

Published
2019
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16. Biogeographical estimates of allergenic pollen transport over regional scales: Common ragweed and Szeged, Hungary as a test case

Author

Makra, László, Matyasovszky, István, Tusnády, Gábor, Wang, Yaqiang, Csépe, Zoltán, Bozóki, Zoltán, Nyúl, László G., Erostyák, János, Bodnár, Károly, Sümeghy, Zoltán, Vogel, Heike, Pauling, Andreas, Páldy, Anna, Magyar, Donát, Mányoki, Gergely, Bergmann, Karl-Christian, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Gehrig, Regula, Seliger, Andreja Kofol, Stjepanović, Barbara, Rodinkova, Victoria, Prikhodko, Alexander, Maleeva, Anna, Severova, Elena, Ščevková, Jana, Ianovici, Nicoleta, Peternel, Renata, and Thibaudon, Michel

Published
2016
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17. Shower Thoughts: Why Scientists Should Spend More Time in the Rain

Author

Stan, John Van, primary, Allen, Scott, additional, Aubrey, Doug, additional, Berry, Z. Carter, additional, Biddick, Matt, additional, Coenders-Gerrits, Miriam, additional, Giordani, Paolo, additional, Gotsch, Sybil, additional, Gutmann, Ethan, additional, Kuzyakov, Yakov, additional, Magyar, Donat, additional, Mella, Valentina, additional, Mueller, Kevin, additional, Ponette-Gonzalez, Alexandra, additional, Porada, Philipp, additional, Rosenfeld, Carla, additional, Simmons, Jack, additional, R, Sridhar Kandikere, additional, Stubbins, Aron, additional, and Swanson, Travis, additional

Published
2023
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20. RAGWEED POLLEN FORECAST IN THE PANNONIAN BIOGEOGRAPHICAL REGION: LESSONS LEARNED

Author

Magyar, Donat, Novák, R, Páldy, Anna, Udvardy, O, Kajtor- Apatini, D, Környei- Bócsi, E, Pál, V, Szigeti, T, Stjepanović, Barbara, Hrga, Ivana, Večenaj, Ana, Vucić, Anita, Peroš Pucar, Danijela, Šikoparija, BNranko, Radišić, Predrag, Škorić, Tatjan a, Ščevková, J, Simon-Csete, E, Nagy, M, Topa, Z, Kofol- Seliger, Andreja, Leru, P.M., Eftimie, A- M, Bastl, M, Berger, Uwe, Leelőssy, A, Thibaudon, Michel, Magyar, Donát, Szigeti, Tamás, Kazinczi, Gabriella, Komives, Tamas, Botta-Dukát, Zoltan, Orlóci, László, and Makra, László

Subjects
ragweed, Pannonian Biogeographical Region, Ragweed Pollen Alarm System (R-PAS)
Abstract

Common ragweed (Ambrosia artemisiifolia L.) is a major concern of public health and agriculture in the Pannonian Biogeographical Region (PBR). Pollen monitoring started more than 30 years ago in Hungary. Since then, the Seasonal Pollen Index of this plant shows an increasing tendency. Ragweed pollen affects approximately 15-20 % of the population ; 93 % of them regularly use pollen information services. Allergic patients and doctors need information about the onset of the season to start the intake of preventive medication two weeks ahead of the appearance of symptoms (10 pollen/m3 /day). During the main season, the short-term (i.e. 3 days) ragweed pollen forecast is crucial –this information can be achieved by different methods. Season start: in the early period of the season, a calendar method is useful (it is a conservative, bell-shaped curve of the 7-day moving average of 10 years’ data). The positioning of the ragweed season to the start date is important for the calculation of a reliable forecast for the first weeks. Therefore, several attempts were made to forecast the start of the season, including already existing and new 29 methods. It was concluded that phenological observations provide the most appropriate input to forecast the start of the ragweed pollen season. Concerning the PRB, the season started 9 times out of the last 10 years in Hungary, most frequently (4 times) in Debrecen. Thus, phenological data were collected from this region weekly to enable a precise prediction of pollen seasons’ start in the last 3 years. In most of the years, the onset of pollen season fell within the same five-day period of 27-31 July, however, anomalies were also detected. Extremely early peaks of pollen concentrations were observed at several monitoring stations in Hungary in June 2017 and 2018, one month before the usual onset. During the nationwide, biweekly field surveys, early blooming A. artemisiifolia plants were found, mostly in North-East Hungary. These field observations matched the source areas identified by trajectory analyses. Main season: For the prediction of the short-term changes in the pollen concentration in the main season the Ragweed Pollen Alarm System (R-PAS) was elaborated with the international collaboration of 28 monitoring stations in 2017 to generate a forecast in the PBR. The most critical point in the routine operation of such a large pollen alarm system is the coordination of data updates. We experienced that appropriate forecast models can handle some delay in data transmission, i.e., 3-day lagged pollen data provide acceptable forecast results in R-PAS. On the other hand, 1- or 2-day lagged pollen data would require unnecessarily high operational costs vs. the added value. As a first version a neural network model was used, nowadays a source-based dispersal model is applied to provide hourly forecasts too. Season end: Further research is needed to forecast the end of the ragweed season, using a different approach due to the re- aerosolization of pollen grains.

Published
2022

22. Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe

Author

Damialis, Athanasios, Gilles, Stefanie, Sofiev, Mikhail, Sofieva, Viktoria, Kolek, Franziska, Bayr, Daniela, Plaza, Maria P., Leier-Wirtz, Vivien, Kaschuba, Sigrid, Ziska, Lewis H., Bielory, Leonard, Makra, László, del Mar Trigo, Maria, Traidl-Hoffmann, Claudia, Oliver, Gilles, Pham-Thi, Nhân, Thibaudon, Michel, Arino, Arturo H., Belmonte, Jordina, Cervigon Morales, Patricia, De Linares, Concepción, Fernández, Delia, Fernández-Rodriguez, Santiago, Gabaldón Arguisuelas, Antonia, Galán, Carmen, González-Alonso, Mónica, Lara, Beatriz, Moreno Grau, José María, Oteros, José, Pérez-Badia, Rosa, Pérez-De-Zabalza, Anabel, Picornell, Antonio, Recio, Marta, Robles, Estrella, Rodríguez-Fernández, Alberto, Rodríguez-Rajo, F. Javier, Rojo, Jesús, Ruiz Valenzuela, Luis, Bergmann, Karl Christian, Werchan, Barbora, Werchan, Matthias, Buters, Jeroen T.M., Bastl, Maximilian, Dunker, Susanne, Hornick, Thomas, González Roldán, Nestor, Gilge, Stefan, Clot, Bernard, Finemann, Stanley, Ford, Linda, Gomez, Robert Anthony, Kamboj, Sanjay, Wilhelm, Wayne, Beggs, Paul J., Burton, Pamela, Davies, Janet M., Haberle, Simon Graeme, Katelaris, Constance Helen, Keaney, Ben, Milic, Andelija, Miller, Victoria, van Haeften, Shanice, Bonini, Maira, Bordin, Anna, Ceriotti, Valentina, Cristofolini, Fabiana, Cristofori, Antonella, Gottardini, Elena, Marcer, Guido, Marraccini, Paolo, Mascagni, Paolo, Meriggi, Antonio, Pace, Loretta, Pini, Alberto, Tacca, Maria Cristina, Bruffaerts, Nicolas, Hoebeke, Lucie, Adams-Groom, Beverley, Pashley, Catherine H., Satchwell, Jack, Skjøth, Carsten, Symon, Fiona A., Antunes, Celia M., Caeiro, Elsa, Camacho, Irene Gomes Câmara, Costa, Ana R., Deus, Ricardo João Ratola Capela, Ferreira, Manuel Branco, Fonseca, Joao Almeida Lopes, Galveias, Ana, Ribeiro, Helena, Tavares, Beatriz, Grewling, Łukasz, Grinn-Gofroń, Agnieszka, Jurkiewicz, Dariusz, Kalinowska, Ewa, Lipiec, Agnieszka, Myszkowska, Dorota, Piotrowska-Weryszko, Krystyna, Puc, Malgorzata, Rapiejko, Anna, Rapiejko, Piotr, Weryszko-Chmielewska, Elzbieta, Ziemianin, Monika, Berman, Dilys, Hoek, Werner, Manjra, Ahmed Ismail, Peter, Jonathan, Dahl, Åslög, Ekebom, Agneta, Stjepanovic, Barbara, Večenaj, Ana, Celenk, Sevcan, Göksel, Özlem, Göksel, Tuncay, Guvensen, Aykut A., Munevver, Nur, Sackesen, Cansin, Acar Sahin, Aydar, Uguz, Ulas U., Yazici, Duygu, Kajtor-Apatini, Dóra, Magyar, Donat, Szigeti, Tamas, Sikoparija, Branko, Kofol Seliger, Andreja, Simčič, Anja, Charalampopoulos, Athanasios, Vokou, Despoina, Rasmussen, Karen, Barrionuevo, Laura Beatriz, Ramon, German Dario, de Weger, Letty A., Koenders, Mieke M.J.F., van Vliet, Arnold J.H., Dušička, Jozef, Lafférsová, Janka, Šèevkováč, Jana, Rybníček, Ondøej, Coates, Frances, Jurgens, Dawn, Šauliene, Ingrida, Severova, Elena, Rodinkova, Victoria, Bortnyk, Mykyta, Palamarchuk, Olena, Yasniuk, Maryna, Louna-Korteniemi, Maria, Pätsi, Sanna, Saarto, Annika, Toiviainen, Linnea, Sozinova, Olga, Jia, Peng, other, and, Damialis, Athanasios, Gilles, Stefanie, Sofiev, Mikhail, Sofieva, Viktoria, Kolek, Franziska, Bayr, Daniela, Plaza, Maria P., Leier-Wirtz, Vivien, Kaschuba, Sigrid, Ziska, Lewis H., Bielory, Leonard, Makra, László, del Mar Trigo, Maria, Traidl-Hoffmann, Claudia, Oliver, Gilles, Pham-Thi, Nhân, Thibaudon, Michel, Arino, Arturo H., Belmonte, Jordina, Cervigon Morales, Patricia, De Linares, Concepción, Fernández, Delia, Fernández-Rodriguez, Santiago, Gabaldón Arguisuelas, Antonia, Galán, Carmen, González-Alonso, Mónica, Lara, Beatriz, Moreno Grau, José María, Oteros, José, Pérez-Badia, Rosa, Pérez-De-Zabalza, Anabel, Picornell, Antonio, Recio, Marta, Robles, Estrella, Rodríguez-Fernández, Alberto, Rodríguez-Rajo, F. Javier, Rojo, Jesús, Ruiz Valenzuela, Luis, Bergmann, Karl Christian, Werchan, Barbora, Werchan, Matthias, Buters, Jeroen T.M., Bastl, Maximilian, Dunker, Susanne, Hornick, Thomas, González Roldán, Nestor, Gilge, Stefan, Clot, Bernard, Finemann, Stanley, Ford, Linda, Gomez, Robert Anthony, Kamboj, Sanjay, Wilhelm, Wayne, Beggs, Paul J., Burton, Pamela, Davies, Janet M., Haberle, Simon Graeme, Katelaris, Constance Helen, Keaney, Ben, Milic, Andelija, Miller, Victoria, van Haeften, Shanice, Bonini, Maira, Bordin, Anna, Ceriotti, Valentina, Cristofolini, Fabiana, Cristofori, Antonella, Gottardini, Elena, Marcer, Guido, Marraccini, Paolo, Mascagni, Paolo, Meriggi, Antonio, Pace, Loretta, Pini, Alberto, Tacca, Maria Cristina, Bruffaerts, Nicolas, Hoebeke, Lucie, Adams-Groom, Beverley, Pashley, Catherine H., Satchwell, Jack, Skjøth, Carsten, Symon, Fiona A., Antunes, Celia M., Caeiro, Elsa, Camacho, Irene Gomes Câmara, Costa, Ana R., Deus, Ricardo João Ratola Capela, Ferreira, Manuel Branco, Fonseca, Joao Almeida Lopes, Galveias, Ana, Ribeiro, Helena, Tavares, Beatriz, Grewling, Łukasz, Grinn-Gofroń, Agnieszka, Jurkiewicz, Dariusz, Kalinowska, Ewa, Lipiec, Agnieszka, Myszkowska, Dorota, Piotrowska-Weryszko, Krystyna, Puc, Malgorzata, Rapiejko, Anna, Rapiejko, Piotr, Weryszko-Chmielewska, Elzbieta, Ziemianin, Monika, Berman, Dilys, Hoek, Werner, Manjra, Ahmed Ismail, Peter, Jonathan, Dahl, Åslög, Ekebom, Agneta, Stjepanovic, Barbara, Večenaj, Ana, Celenk, Sevcan, Göksel, Özlem, Göksel, Tuncay, Guvensen, Aykut A., Munevver, Nur, Sackesen, Cansin, Acar Sahin, Aydar, Uguz, Ulas U., Yazici, Duygu, Kajtor-Apatini, Dóra, Magyar, Donat, Szigeti, Tamas, Sikoparija, Branko, Kofol Seliger, Andreja, Simčič, Anja, Charalampopoulos, Athanasios, Vokou, Despoina, Rasmussen, Karen, Barrionuevo, Laura Beatriz, Ramon, German Dario, de Weger, Letty A., Koenders, Mieke M.J.F., van Vliet, Arnold J.H., Dušička, Jozef, Lafférsová, Janka, Šèevkováč, Jana, Rybníček, Ondøej, Coates, Frances, Jurgens, Dawn, Šauliene, Ingrida, Severova, Elena, Rodinkova, Victoria, Bortnyk, Mykyta, Palamarchuk, Olena, Yasniuk, Maryna, Louna-Korteniemi, Maria, Pätsi, Sanna, Saarto, Annika, Toiviainen, Linnea, Sozinova, Olga, Jia, Peng, and other, and

Abstract

Pollen exposure weakens the immunity against certain seasonal respiratory viruses by diminishing the antiviral interferon response. Here we investigate whether the same applies to the pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is sensitive to antiviral interferons, if infection waves coincide with high airborne pollen concentrations. Our original hypothesis was that more airborne pollen would lead to increases in infection rates. To examine this, we performed a cross-sectional and longitudinal data analysis on SARS-CoV-2 infection, airborne pollen, and meteorological factors. Our dataset is the most comprehensive, largest possible worldwide from 130 stations, across 31 countries and five continents. To explicitly investigate the effects of social contact, we additionally considered population density of each study area, as well as lockdown effects, in all possible combinations: without any lockdown, with mixed lockdown−no lockdown regime, and under complete lockdown. We found that airborne pollen, sometimes in synergy with humidity and temperature, explained, on average, 44% of the infection rate variability. Infection rates increased after higher pollen concentrations most frequently during the four previous days. Without lockdown, an increase of pollen abundance by 100 pollen/m3 resulted in a 4% average increase of infection rates. Lockdown halved infection rates under similar pollen concentrations. As there can be no preventive measures against airborne pollen exposure, we suggest wide dissemination of pollen−virus coexposure dire effect information to encourage high-risk individuals to wear particle filter masks during high springtime pollen concentrations.

Published
2021

23. Indoor air pollution, physical and comfort parameters related to schoolchildren's health : Data from the European SINPHONIE study

Author

Baloch, Ramen Munir, Maesano, Cara Nichole, Christoffersen, Jens, Banerjee, Soutrik, Gabriel, Marta, Csobod, Eva, Fernandes, Eduardo de Oliveira, Annesi-Maesano, Isabella, Szuppinger, Peter, Prokai, Reka, Farkas, Petur, Fuzi, Cecilia, Cani, Eduart, Draganic, Jasna, Mogyorosy, Eszter Reka, Korac, Zorica, Ventura, Gabriela, Madureira, Joana, Paciencia, Ines, Martins, Anabela, Pereira, Ricardo, Ramos, Elisabete, Rudnai, Peter, Paldy, Anna, Dura, Gyula, Beregszaszi, Timea, Vaskovi, Eva, Magyar, Donat, Pandics, Tamas, Remeny-Nagy, Zsuzsanna, Szentmihalyi, Renata, Udvardy, Orsolya, Varro, Mihaly J., Kephalopoulos, Stylianos, Kotzias, Dimitrios, Barrero-Moreno, Josefa, Mehmeti, Rahmije, Vilic, Aida, Maestro, Daniel, Moshammer, Hanns, Strasser, Gabriela, Brigitte, Piegler, Hohenblum, Philipp, Goelen, Eddy, Stranger, Marianne, Spruy, Maarten, Sidjimov, Momchil, Hadjipanayis, Adamos, Katsonouri-Sazeides, Andromachi, Demetriou, Eleni, Kubinova, Ruzana, Kazmarova, Helena, Dlouha, Beatricia, Kotlik, Bohumil, Vabar, Helen, Ruut, Juri, Metus, Meelis, Rand, Kristiina, Jarviste, Antonina, Nevalainen, Aino, Hyvarinen, Anne, Taubel, Martin, Jarvi, Kati, Mandin, Corinne, Berthineau, Bruno, Moriske, Heinz-Joern, Giacomini, Marcia, Neumann, Anett, Bartzis, John, Kalimeri, Krystallia, Saraga, Dikaia, Santamouris, Mattheos, Assimakopoulos, Margarita Niki, Asimakopoulos, Vasiliki, Carrer, Paolo, Cattaneo, Andrea, Pulvirenti, Salvatore, Vercelli, Franco, Strangi, Fabio, Omeri, Elida, Piazza, Silvia, D'Alcamo, Andrea, Fanetti, Anna Clara, Sestini, Piersante, Kouri, Magdalini, Viegi, Giovanni, Sarno, Giuseppe, Baldacci, Sandra, Maio, Sara, Cerrai, Sonia, Franzitta, Vincenzo, Bucchieri, Salvatore, Cibella, Fabio, Simoni, Marzia, Neri, Margherita, Martuzevicius, Dainius, Krugly, Edvinas, Montefort, Stephen, Fsadni, Peter, Brewczynski, Piotr Z., Krakowiak, Ewa, Kurek, Jolanta, Kubarek, Elibieta, Wlazlo, Agnieszka, Borrego, Carlos, Alves, Celia, Valente, Joana, Gurzau, Eugen, Rosu, Cristina, Popita, Gabriela, Neamtiu, Iulia, Neagu, Cristina, Norbäck, Dan, Bluyssen, Phylomena, Bohms, Michel, Van den Hazel, Peter, Cassee, Flemming, de Bruin, Yuri Bruinen, Bartonova, Alena, Yang, Aileen, Halzlova, Katarina, Jajcaj, Michal, Kanikova, Milada, Miklankova, Olga, Vitkiva, Marianna, Jovasevic-Stojanovic, Milena, Zivkovic, Marija, Stevanovic, Zarko, Lazovic, Ivan, Stevanovic, Zana, Zivkovic, Zorica, Cerovic, Sofija, Jocic-Stojanovic, Jasmina, Mumovic, Dejan, Tarttelin, Paula, Chatzidiakou, Lia, Chatzidiakou, Evangelia, Dewolf, Marie-Christine, Baloch, Ramen Munir, Maesano, Cara Nichole, Christoffersen, Jens, Banerjee, Soutrik, Gabriel, Marta, Csobod, Eva, Fernandes, Eduardo de Oliveira, Annesi-Maesano, Isabella, Szuppinger, Peter, Prokai, Reka, Farkas, Petur, Fuzi, Cecilia, Cani, Eduart, Draganic, Jasna, Mogyorosy, Eszter Reka, Korac, Zorica, Ventura, Gabriela, Madureira, Joana, Paciencia, Ines, Martins, Anabela, Pereira, Ricardo, Ramos, Elisabete, Rudnai, Peter, Paldy, Anna, Dura, Gyula, Beregszaszi, Timea, Vaskovi, Eva, Magyar, Donat, Pandics, Tamas, Remeny-Nagy, Zsuzsanna, Szentmihalyi, Renata, Udvardy, Orsolya, Varro, Mihaly J., Kephalopoulos, Stylianos, Kotzias, Dimitrios, Barrero-Moreno, Josefa, Mehmeti, Rahmije, Vilic, Aida, Maestro, Daniel, Moshammer, Hanns, Strasser, Gabriela, Brigitte, Piegler, Hohenblum, Philipp, Goelen, Eddy, Stranger, Marianne, Spruy, Maarten, Sidjimov, Momchil, Hadjipanayis, Adamos, Katsonouri-Sazeides, Andromachi, Demetriou, Eleni, Kubinova, Ruzana, Kazmarova, Helena, Dlouha, Beatricia, Kotlik, Bohumil, Vabar, Helen, Ruut, Juri, Metus, Meelis, Rand, Kristiina, Jarviste, Antonina, Nevalainen, Aino, Hyvarinen, Anne, Taubel, Martin, Jarvi, Kati, Mandin, Corinne, Berthineau, Bruno, Moriske, Heinz-Joern, Giacomini, Marcia, Neumann, Anett, Bartzis, John, Kalimeri, Krystallia, Saraga, Dikaia, Santamouris, Mattheos, Assimakopoulos, Margarita Niki, Asimakopoulos, Vasiliki, Carrer, Paolo, Cattaneo, Andrea, Pulvirenti, Salvatore, Vercelli, Franco, Strangi, Fabio, Omeri, Elida, Piazza, Silvia, D'Alcamo, Andrea, Fanetti, Anna Clara, Sestini, Piersante, Kouri, Magdalini, Viegi, Giovanni, Sarno, Giuseppe, Baldacci, Sandra, Maio, Sara, Cerrai, Sonia, Franzitta, Vincenzo, Bucchieri, Salvatore, Cibella, Fabio, Simoni, Marzia, Neri, Margherita, Martuzevicius, Dainius, Krugly, Edvinas, Montefort, Stephen, Fsadni, Peter, Brewczynski, Piotr Z., Krakowiak, Ewa, Kurek, Jolanta, Kubarek, Elibieta, Wlazlo, Agnieszka, Borrego, Carlos, Alves, Celia, Valente, Joana, Gurzau, Eugen, Rosu, Cristina, Popita, Gabriela, Neamtiu, Iulia, Neagu, Cristina, Norbäck, Dan, Bluyssen, Phylomena, Bohms, Michel, Van den Hazel, Peter, Cassee, Flemming, de Bruin, Yuri Bruinen, Bartonova, Alena, Yang, Aileen, Halzlova, Katarina, Jajcaj, Michal, Kanikova, Milada, Miklankova, Olga, Vitkiva, Marianna, Jovasevic-Stojanovic, Milena, Zivkovic, Marija, Stevanovic, Zarko, Lazovic, Ivan, Stevanovic, Zana, Zivkovic, Zorica, Cerovic, Sofija, Jocic-Stojanovic, Jasmina, Mumovic, Dejan, Tarttelin, Paula, Chatzidiakou, Lia, Chatzidiakou, Evangelia, and Dewolf, Marie-Christine

Abstract

Substantial knowledge is available on the association of the indoor school environment and its effect among schoolchildren. In the same context, the SINPHONIE (School indoor pollution and health: Observatory network in Europe) conducted a study to collect data and determine the distribution of several indoor air pollutants (IAPs), physical and thermal parameters and their association with eye, skin, upper-, lower respiratory and systemic disorder symptoms during the previous three months. Finally, data from 115 schools in 54 European cities from 23 countries were collected and included 5175 schoolchildren using a harmonized and standardized protocol. The association between exposures and the health outcomes were examined using logistic regression models on the environmental stressors assessed in classroom while adjusting for several confounding factors; a VOC (volatile organic compound) score defined as the sum of the number of pollutants to which the children were highly exposed (concentration > median of the distribution) in classroom was also introduced to evaluate the mul tiexposu re - outcome association. Schoolchildren while adjusting for several confounding factors. Schoolchildren exposed to above or equal median concentration of PM2.5, benzene, limonene, ozone and radon were at significantly higher odds of suffering from upper, lower airways, eye and systemic disorders. Increased odds were also observed for any symptom (sick school syndrome) among schoolchildren exposed to concentrations of limonene and ozone above median values. Furthermore, the risks for upper and lower airways and systemic disorders significantly increased with the VOCs score. Results also showed that increased ventilation rate was significantly associated with decreased odds of suffering from eye and skin disorders whereas similar association was observed between temperature and upper airways symptoms. The present study provides evidence that exposure to IAPs in schools is associated

Published
2020
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24. THE APPLICATION OF NEURAL NETWORK-BASED RAGWEED POLLEN FORECAST BY THE RAGWEED POLLEN ALARM SYSTEM IN THE PANNONIAN BIOGEOGRAPHICAL REGION

Author

Csepe, Zoltan, Leelossy, Adam, Manyoki, Gergely, Kajt or Apatini, Dora, Udvardy, O, Peter, B, Paldy, Anna, Gelybo, G, Szigeti, Tamas, Pandics, T, Kofol Seliger, Andreja, Leru, Polliana, Eftimie, Ana Maria, Sikoparija, Branko, Radisic, Predrag, Stjepanovic, Barbara, Hrga, Ivana, Vecenaj, Ana, Vucic, Anita, Skoric, Tatjana, Magyar, Donat, and Albertini, Roberto

Subjects
neural network, MLP, ragweed pollen
Abstract

Ragweed Pollen Alarm System (R-PAS) has been running since 2014 to provide pollen information for countries in the Pannonian Biogeographical Region (PBR). The aim of this study is to develop forecast models of the representative aerobiological monitoring stations, identified by analysis based on a Neural Network computation. Monitoring stations with 7-day Hirst type pollen trap·having 10- year Iong validated dataset of ragweed pollen were selected for the study from the PBR. Variables including meteorological data, pollen data of the previous days·and nearby monitoring stations were used as input of the model. We used the·multilayer perceptron model to forecast the pollen concentration. The multilayer perceptron (MLP) is a feedforward artificial neural network. MLP is a data driven method it can use to forecast complex systems. ln our case it has three layers with one hidden layer. MLP utilizes a supervised learning technique called backpropagation for training to get better performance. The Neural Network tests selected different set of variables for predict pollen levels for the next 3 days in each monitoring stations. The predicted pollen Ievels are shown on isarithmic map. We use MAE, RMSE and correlation coefficients to show the forecasting system's performance. Visualization of the results of Neural Network forecast on isarithmic maps is a good tool to communicate pollen information to general public in the PBR.

Published
2018

25. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook

Author

Sofiev, Mikhail, primary, Ritenberga, Olga, additional, Albertini, Roberto, additional, Arteta, Joaquim, additional, Belmonte, Jordina, additional, Bernstein, Carmi Geller, additional, Bonini, Maira, additional, Celenk, Sevcan, additional, Damialis, Athanasios, additional, Douros, John, additional, Elbern, Hendrik, additional, Friese, Elmar, additional, Galan, Carmen, additional, Oliver, Gilles, additional, Hrga, Ivana, additional, Kouznetsov, Rostislav, additional, Krajsek, Kai, additional, Magyar, Donat, additional, Parmentier, Jonathan, additional, Plu, Matthieu, additional, Prank, Marje, additional, Robertson, Lennart, additional, Steensen, Birthe Marie, additional, Thibaudon, Michel, additional, Segers, Arjo, additional, Stepanovich, Barbara, additional, Valdebenito, Alvaro M., additional, Vira, Julius, additional, and Vokou, Despoina, additional

Published
2017
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26. Multi-model ensemble simulations of olive pollen distribution in Europe in 2014 : current status and outlook

Author

Sofiev, Mikhail, Ritenberga, Olga, Albertini, Roberto, Arteta, Joaquim, Belmonte, Jordina, Bernstein, Carmi Geller, Bonini, Maira, Celenk, Sevcan, Damialis, Athanasios, Douros, John, Elbern, Hendrik, Friese, Elmar, Galan, Carmen, Oliver, Gilles, Hrga, Ivana, Kouznetsov, Rostislav, Krajsek, Kai, Magyar, Donat, Parmentier, Jonathan, Plu, Matthieu, Prank, Marje, Robertson, Lennart, Steensen, Birthe Marie, Thibaudon, Michel, Segers, Arjo, Stepanovich, Barbara, Valdebenito, Alvaro M., Vira, Julius, Vokou, Despoina, Sofiev, Mikhail, Ritenberga, Olga, Albertini, Roberto, Arteta, Joaquim, Belmonte, Jordina, Bernstein, Carmi Geller, Bonini, Maira, Celenk, Sevcan, Damialis, Athanasios, Douros, John, Elbern, Hendrik, Friese, Elmar, Galan, Carmen, Oliver, Gilles, Hrga, Ivana, Kouznetsov, Rostislav, Krajsek, Kai, Magyar, Donat, Parmentier, Jonathan, Plu, Matthieu, Prank, Marje, Robertson, Lennart, Steensen, Birthe Marie, Thibaudon, Michel, Segers, Arjo, Stepanovich, Barbara, Valdebenito, Alvaro M., Vira, Julius, and Vokou, Despoina

Published
2017
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27. Dendrotelmata (water-filled tree holes) as fungal hotspots - a long term study

Author

Magyar, Donat, Vass, Mate, Oros, Gyula, Magyar, Donat, Vass, Mate, and Oros, Gyula

Abstract

Water-filled tree holes (dendrotelmata) are mostly ephemeral micro-ecosystems characterized by high level of heterotrophic microbial activity sustained by allochthonous organic matter. In this paper, description of a five-year long observation of fungal consortia in a Norway maple tree-hole is presented. Overall, 139 fungal taxa were detected. Among them, Excipularia fusispora, Ellisembia leptospora, Rebentischia unicaudata, Tricladium castaneicola, Thielavia terricola and Alternaria spp. occurred most frequently. Our observations suggest that even an individual dendrotelma represents an exceptional microhabitat, forming a hot-spot for microfungi due to its role as a natural spore trap and its (temporarily) aquatic environment. Our results show that this aquatic micro-ecosystem supports highly diverse mycobiota with continuous temporal dynamics, with an important fraction of sporadic taxa.

Published
2017
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28. An integrated assessment of ragweed dispersal from the Pannonian Plain

Author

Skjoth, Carsten A., Smith, Matt, Šikoparija, Branko, Stach, Alicja, Myszkowska, Dorota, Kasprzyk, Idalia, Radišić, Predrag, Stjepanović, Barbara, Hrga, Ivana, Apatini, Dora, Magyar, Donat, Paldy, Anna, Brandt, J., Christensen, J.H., Frohn, L.M., Geels, C., Hansen, K.M., Hedegaard, G.B., Milkovska, Snežana, Šimić, S., Uruska, A., Puc, M., Balwierz, Z., Chlopek, K., Piotrowska, K., and Grewling, L. and Ianovici, Nicoleta

Subjects
Ambrosia, invasive, dispersion, allergy
Abstract

Ambrosia (ragweed) is a major threat to human health and agriculture. In Europe Ambrosia is considered invasive and limiting the spread has until now failed. How the pollen load of ragweed is distributed geographically remains unexplained. We have applied the Integrated Approach (IA) where a suite of methods are used to show how the Pannonian Plain (PP) acts as a prime source of Ambrosia pollen not only locally but on the regional scale.

Published
2011

29. Pyrigemmula, a novel hyphomycete genus on grapevine and tree bark

Author

Magyar, Donat, Shoemaker, R.A., Bobvos, J., Crous, P.W., Groenewald, J.Z., Magyar, Donat, Shoemaker, R.A., Bobvos, J., Crous, P.W., and Groenewald, J.Z.

Abstract

The anamorphic taxon Pyrigemmula aurantiaca gen. et sp. nov. is described and illustrated from specimens that were collected from the inner bark of living woody hosts (Vitis vinifera, Pyrus communis, Mespilus germanica, Platanus hybrida, Elaeagnus angustifolia) and plant debris in Hungary. The fungus is generically distinct in the nature of the pyriform, golden conidiogenous cell with a solitary terminal pore and the ellipsoidal, distoseptate, phragmoconidia that germinate from each end and that have a rarely noted internal hilum quite unlike the hilum of the conidiogenous cell. The new fungus is compared with the type species of a number of allied genera of hyphomycetes. Free spores of the fungus were trapped in air, honeydew sap and rainwater samples. Aerobiological studies showed that the spores are infrequent in the air, whereas their concentration increased with higher atmospheric pressure. Pyrigemmula aurantiaca lives in bark fissures and rarely becomes airborne and the spores are mainly dispersed by rain splash., The anamorphic taxon Pyrigemmula aurantiaca gen. et sp. nov. is described and illustrated from specimens that were collected from the inner bark of living woody hosts (Vitis vinifera, Pyrus communis, Mespilus germanica, Platanus hybrida, Elaeagnus angustifolia) and plant debris in Hungary. The fungus is generically distinct in the nature of the pyriform, golden conidiogenous cell with a solitary terminal pore and the ellipsoidal, distoseptate, phragmoconidia that germinate from each end and that have a rarely noted internal hilum quite unlike the hilum of the conidiogenous cell. The new fungus is compared with the type species of a number of allied genera of hyphomycetes. Free spores of the fungus were trapped in air, honeydew sap and rainwater samples. Aerobiological studies showed that the spores are infrequent in the air, whereas their concentration increased with higher atmospheric pressure. Pyrigemmula aurantiaca lives in bark fissures and rarely becomes airborne and the spores are mainly dispersed by rain splash.

Published
2011

30. The long distance transport of airborne Ambrosia pollen to the UK and the Netherlands from Central and south Europe.

Author

Weger, Letty, Pashley, Catherine, Šikoparija, Branko, Skjøth, Carsten, Kasprzyk, Idalia, Grewling, Łukasz, Thibaudon, Michel, Magyar, Donat, and Smith, Matt

Subjects
RAGWEEDS, POLLEN, INTRODUCED species, TRAJECTORY measurements
Abstract

The invasive alien species Ambrosia artemisiifolia (common or short ragweed) is increasing its range in Europe. In the UK and the Netherlands, airborne concentrations of Ambrosia pollen are usually low. However, more than 30 Ambrosia pollen grains per cubic metre of air (above the level capable to trigger allergic symptoms) were recorded in Leicester (UK) and Leiden (NL) on 4 and 5 September 2014. The aims of this study were to determine whether the highly allergenic Ambrosia pollen recorded during the episode could be the result of long distance transport, to identify the potential sources of these pollen grains and to describe the conditions that facilitated this possible long distance transport. Airborne Ambrosia pollen data were collected at 10 sites in Europe. Back trajectory and atmospheric dispersion calculations were performed using HYSPLIT_4. Back trajectories calculated at Leicester and Leiden show that higher altitude air masses (1500 m) originated from source areas on the Pannonian Plain and Ukraine. During the episode, air masses veered to the west and passed over the Rhône Valley. Dispersion calculations showed that the atmospheric conditions were suitable for Ambrosia pollen released from the Pannonian Plain and the Rhône Valley to reach the higher levels and enter the airstream moving to northwest Europe where they were deposited at ground level and recorded by monitoring sites. The study indicates that the Ambrosia pollen grains recorded during the episode in Leicester and Leiden were probably not produced by local sources but transported long distances from potential source regions in east Europe, i.e. the Pannonian Plain and Ukraine, as well as the Rhône Valley in France. [ABSTRACT FROM AUTHOR]

Published
2016
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34. New species of Oncopodiella(Hyphomycetes) from living trees

Author

Magyar, Donat and Révay, Ágnes

Abstract

Notes on eight species ofOncopodiellacollected from living trees in Hungary are presented.Oncopodiella felissp. nov.,O. doliiformis sp. nov. andO. cubisporasp. nov. are described and illustrated from bark of trees. New records for Hungary areOncopodiella guamensisandO. hyperparasitica. Additional records are provided forO. hungarica,O. robustaandO. trigonella.

Published
2009
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36. Artificial neural networks can be used for Ambrosia pollen emission parameterization in COSMO-ART

Author

Burki, Charlotte, Sikoparija, Branko, Thibaudon, Michel, Oliver, Gilles, Magyar, Donat, Udvardy, Orsolya, Leelossy, Adam, Charpilloz, Christophe, and Pauling, Andreas

Subjects
source inventory, model, Statistics::Applications, numerical pollen dispersion model cosmo-art, ambrosia pollen emission parameterization, Astrophysics::High Energy Astrophysical Phenomena, diurnal patterns, impact, dispersion, artificial neural networks, supervised learning, ragweed
Abstract

The emission parameterization is a crucial part of numerical pollen dispersion models. This paper shows that Artificial Neural Networks (ANNs) can substantially improve the performance of the Ambrosia pollen emission in numerical pollen dispersion models such as COSMO-ART. Based on simultaneous measurement of Ambrosia pollen concentrations and meteorological variables in the source area, ANNs were trained to predict the diurnal profile of pollen emission. Six different combinations of explanatory meteorological variables were trained with five different ANN configurations resulting in 30 candidate emission models. The best network configuration for each combination of explanatory variables were used as emission parameterization in the numerical pollen dispersion model COSMO-ART. In addition, two benchmarks were implemented: an emission parameterization based on sigmoid functions and an artificial neural network using only time as an explanatory variable. The Ambrosia pollen seasons of 2015 and 2016 were simulated using the two benchmarks and the six emission parameterizations. The modelled diurnal profile of emission fluxes at 15 different sites from Serbia, Hungary and France with strong local pollen sources were compared with observed concentrations. Artificial Neural Networks based emission parameterization substantially improved the performance of the Ambrosia pollen emission in COSMO-ART compared to the emission based on the sigmoid functions in all these three countries. However, a time-related explanatory variable must be used. This suggests that the ANN-based emission parameterizations can be used at distant locations as well. On the other hand, the use of meteorological related parameters did not increase the performance compared with the time-only benchmark.

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