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5. The phenomenon of thunderstorm asthma in Bavaria, Southern Germany: a statistical approach.

Author

Straub, Annette, Fricke, Verena, Olschewski, Patrick, Seubert, Stefanie, Beck, Christoph, Bayr, Daniela, Kolek, Franziska, Plaza, Maria P., Leier-Wirtz, Vivien, Kaschuba, Sigrid, Traidl-Hoffmann, Claudia, Buermann, Wolfgang, Gerstlauer, Michael, Damialis, Athanasios, and Philipp, Andreas

Subjects
ASTHMA, NOSOLOGY, WEATHER, SEASONS, DESCRIPTIVE statistics, DATA analysis software, BAROCLINICITY
Abstract

Higher incidences of asthma during thunderstorms can pose a serious health risk. In this study, we estimate the thunderstorm asthma risk using statistical methods, with special focus on Bavaria, Southern Germany. In this approach, a dataset of asthma-related emergency cases for the study region is combined with meteorological variables and aeroallergen data to identify statistical relationships between the occurrence of asthma (predictand) and different environmental parameters (set of predictors). On the one hand, the results provide evidence for a weak but significant relationship between atmospheric stability indices and asthma emergencies in the region, but also show that currently thunderstorm asthma is not a major concern in Bavaria due to overall low incidences. As thunderstorm asthma can have severe consequences for allergic patients, the presented approach can be important for the development of emergency strategies in regions affected by thunderstorm asthma and under present and future climate change conditions. [ABSTRACT FROM AUTHOR]

Published
2022
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6. The phenomenon of thunderstorm asthma in Bavaria, Southern Germany: a statistical approach

Author

Straub, Annette, primary, Fricke, Verena, additional, Olschewski, Patrick, additional, Seubert, Stefanie, additional, Beck, Christoph, additional, Bayr, Daniela, additional, Kolek, Franziska, additional, Plaza, Maria P., additional, Leier-Wirtz, Vivien, additional, Kaschuba, Sigrid, additional, Traidl-Hoffmann, Claudia, additional, Buermann, Wolfgang, additional, Gerstlauer, Michael, additional, Damialis, Athanasios, additional, and Philipp, Andreas, additional

Published
2021
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8. Thunderstorm asthma: an under-estimated public health threat? Implicated aeroallergens and impact on allergic symptoms

Author

Damialis, Athanasios, Bayr, Daniela, Kolek, Franziska, Straub, Anette, Plaza, Maria P., Leier-Wirtz, Vivien, Goekkaya, Mehmet, Hammel, Gertrud, Oteros, Jose, Buters, Jeroen T. M., Thölken, Karisa, Hilgers, Susanne, Schwierzeck, Vera, Knoch, Stephan, Bezold, Sebastian, Beck, Isabelle, Bounas-Pyrros, Nikolaos, Todorova, Antonia, Kaschuba, Sigrid, Seubert, Sandra, Gerstlauer, Michael, Beck, Christoph, Traidl-Hoffmann, Claudia, Gilles, Stephanie, and Phillip, Andreas

Published
2021

9. 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

11. Thunderstorm Asthma: In Search For Relationships With Airborne Pollen And Fungal Spores From 23 Sites In Bavaria, Germany. A Rare Incident Or A Common Threat?

Author

Damialis, Athanasios, primary, Bayr, Daniela, additional, Leier-Wirtz, Vivien, additional, Kolek, Franziska, additional, Plaza, Maria, additional, Kaschuba, Sigrid, additional, Gilles, Stefanie, additional, Oteros, Jose, additional, Buters, Jeroen, additional, Menzel, Annette, additional, Straub, Annette, additional, Seubert, Stefanie, additional, Traidl-Hoffmann, Claudia, additional, Gerstlauer, Michael, additional, Beck, Christoph, additional, and Philipp, Andreas, additional

Published
2020
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13. Higher airborne pollen concentrations correlated with increased SARS-CoV-2 infection rates, as evidenced from 31 countries across the globe.

Author

Damialis A, Gilles S, Sofiev M, Sofieva V, Kolek F, Bayr D, Plaza MP, Leier-Wirtz V, Kaschuba S, Ziska LH, Bielory L, Makra L, Del Mar Trigo M, and Traidl-Hoffmann C

Subjects
COVID-19 virology, Geography, Humans, Longitudinal Studies, SARS-CoV-2 physiology, COVID-19 epidemiology, Internationality, Pollen adverse effects
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/m 3 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., Competing Interests: The authors declare no competing interest., (Copyright © 2021 the Author(s). Published by PNAS.)

Published
2021
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