Background: Google Trends (GT) searches trends of specific queries in Google, which potentially reflect the real-life epidemiology of allergic rhinitis. We compared GT terms related to ragweed pollen allergy in American and European Union countries with a known ragweed pollen season. Our aim was to assess seasonality and the terms needed to perform the GT searches and to compare these during the spring and summer pollen seasons. Methods: We examined GT queries from January 1, 2011, to January 4, 2017. We included 15 countries with a known ragweed pollen season and used the standard 5-year GT graphs. We used the GT translation for all countries and the untranslated native terms for each country. Results: The results of “pollen,” “ragweed,” and “allergy” searches differed between countries, but “ragweed” was clearly identified in 12 of the 15 countries. There was considerable heterogeneity of findings when the GT translation was used. For Croatia, Hungary, Romania, Serbia, and Slovenia, the GT translation was inappropriate. The country patterns of “pollen,” “hay fever,” and “allergy” differed in 8 of the 11 countries with identified “ragweed” queries during the spring and the summer, indicating that the perception of tree and grass pollen allergy differs from that of ragweed pollen. Conclusions: To investigate ragweed pollen allergy using GT, the term “ragweed” as a plant is required and the translation of “ragweed” in the native language needed.

1.
Bousquet J, Schunemann HJ, Fonseca J, Samolinski B, Bachert C, Canonica GW, et al: MACVIA-ARIA Sentinel Network for allergic rhinitis (MASK-rhinitis): the new generation guideline implementation. Allergy 2015; 70: 1372–1392.
2.
Pfaar O, Bastl K, Berger U, Buters J, Calderon MA, Clot B, et al: Defining pollen exposure times for clinical trials of allergen immunotherapy for pollen-induced rhinoconjunctivitis – an EAACI Position Paper. Allergy 2017; 72: 713–722.
3.
Caillaud D, Thibaudon M, Martin S, Segala C, Besancenot JP, Clot B, et al: Short-term effects of airborne ragweed pollen on clinical symptoms of hay fever in a panel of 30 patients. J Investig Allergol Clin Immunol 2014; 24: 249–256.
4.
Csepe Z, Makra L, Voukantsis D, Matyasovszky I, Tusnady G, Karatzas K, et al: Predicting daily ragweed pollen concentrations using computational intelligence techniques over two heavily polluted areas in Europe. Sci Total Environ 2014; 476–477: 542–552.
5.
Khwarahm NR, Dash J, Skjoth CA, Newnham RM, Adams-Groom B, Head K, et al: Mapping the birch and grass pollen seasons in the UK using satellite sensor time-series. Sci Total Environ 2017; 578: 586–600.
6.
Navares R, Aznarte JL: Predicting the Poaceae pollen season: six month-ahead forecasting and identification of relevant features. Int J Biometeorol 2017; 61: 647–656.
7.
Silva-Palacios I, Fernandez-Rodriguez S, Duran-Barroso P, Tormo-Molina R, Maya-Manzano JM, Gonzalo-Garijo A: Temporal modelling and forecasting of the airborne pollen of Cupressaceae on the southwestern Iberian Peninsula. Int J Biometeorol 2016; 60: 297–306.
8.
Bastl K, Kmenta M, Pessi AM, Prank M, Saarto A, Sofiev M, et al: First comparison of symptom data with allergen content (Bet v 1 and Phl p 5 measurements) and pollen data from four European regions during 2009–2011. Sci Total Environ 2016; 548–549: 229–235.
9.
Buters JT, Weichenmeier I, Ochs S, Pusch G, Kreyling W, Boere AJ, et al: The allergen Bet v 1 in fractions of ambient air deviates from birch pollen counts. Allergy 2010; 65: 850–858.
10.
Myszkowska D, Majewska R: Pollen grains as allergenic environmental factors – new approach to the forecasting of the pollen concentration during the season. Ann Agric Environ Med 2014; 21: 681–688.
11.
de Weger LA, Beerthuizen T, Hiemstra PS, Sont JK: Development and validation of a 5-day-ahead hay fever forecast for patients with grass-pollen-induced allergic rhinitis. Int J Biometeorol 2014; 58: 1047–1055.
12.
Konig V, Mosges R: A model for the determination of pollen count using google search queries for patients suffering from allergic rhinitis. J Allergy (Cairo) 2014; 2014: 381983.
13.
Willson TJ, Lospinoso J, Weitzel E, McMains K: Correlating regional aeroallergen effects on internet search activity. Otolaryngol Head Neck Surg 2015; 152: 228–232.
14.
Zuckerman O, Luster SH, Bielory L: Internet searches and allergy: temporal variation in regional pollen counts correlates with Google searches for pollen allergy related terms. Ann Allergy Asthma Immunol 2014; 113: 486–488.
15.
Gaspar Marques J, Carreiro Martins P, Belo J, Alves C, Paiva M, Caeiro E, et al: Pollen counts influence web searches for asthma and rhinitis. J Investig Allergol Clin Immunol 2016; 26: 192–194.
16.
Willson TJ, Shams A, Lospinoso J, Weitzel E, McMains K: Searching for Cedar: geographic variation in single aeroallergen shows dose response in internet search activity. Otolaryngol Head Neck Surg 2015; 153: 770–774.
17.
Oteros J, García-Mozo H, Viuf P, Galán C: Google trends, useful tool in airborne pollen detection. An Fac Med 2015; 76: 265–268.
18.
Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L: Detecting influenza epidemics using search engine query data. Nature 2009; 457: 1012–1014.
19.
Kang MG, Song WJ, Choi S, Kim H, Ha H, Kim SH, et al: Google unveils a glimpse of allergic rhinitis in the real world. Allergy 2015; 70: 124–128.
20.
Bousquet J, Agache I, Anto J, Bergmann K, Bachert C, Annesi-Maesano I, et al: Google Trends terms reporting rhinitis and related topics differ in European countries. Allergy 2017; 72: 1261–1266.
21.
Essl F, Biro K, Brandes D, Broennimann O, Bullock JM, Chapman DS, et al: Biological flora of the British Isles: Ambrosia artemisiifolia. J Ecology 2014; 103: 1069–1098.
22.
Lake IR, Jones NR, Agnew M, Goodess CM, Giorgi F, Hamaoui-Laguel L, et al: Climate Change and Future Pollen Allergy in Europe. Environ Health Perspect 2017; 125; 385–391.
23.
Mehulic M, Mehulic K, Vuljanko IM, Kukulj S, Grle SP, Vukic AD, et al: Changing pattern of sensitization in Croatia to aeroallergens in adult population referring to allergy clinic during a period of 15 years. Coll Antropol 2011; 35: 529–536.
24.
Prank M, Chapman D, Bullock J, Belmonte J, Berger U, Dahl A, et al: An operational model for forecasting ragweed pollen release and dispersion in Europe. Agric Forest Meteorol 2013; 182/183: 43–53.
25.
Hamaoui-Laguel L, vautard R, Liu L, Solmon F, Viory N, Khvorostyanov D, et al : Effects of climate change and seed dispersal on airborne ragweed pollen loads in Europe. Nat Climate Change 2015; 5: 766–771.
26.
Kmenta M, Zetter R, Berger U, Bastl K: Pollen information consumption as an indicator of pollen allergy burden. Wien Klin Wochenschr 2016; 128: 59—67.
27.
Bousquet J, Addis A, Adcock I, Agache I, Agusti A, Alonso A, et al: Integrated care pathways for airway diseases (AIRWAYS-ICPs). Eur Respir J 2014; 44: 304–323.
28.
Bousquet J, Hellings PW, Agache I, Bedbrook A, Bachert C, Bergmann KC, et al: ARIA 2016: care pathways implementing emerging technologies for predictive medicine in rhinitis and asthma across the life cycle. Clin Transl Allergy 2016; 6: 47.
29.
Bousquet J, Farrell J, Crooks G, Hellings P, Bel EH, Bewick M, et al: Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5). Clin Transl Allergy 2016; 6: 29.
Copyright / Drug Dosage / Disclaimer
Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher.
Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug.
Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.
You do not currently have access to this content.