Background: Ambient air quality monitoring is a governmental duty that is widely carried out in order to detect non-biological ("chemical") components in ambient air, such as particles of 500). The prevalent monitoring method is based on the Hirst principle (> 600 stations). The inventory is visualised as an interactive and on-line map. It can be searched, its appearance can be adjusted to the users' needs and it is updated regularly, as new stations or changes to those that already exist can be submitted online. Conclusions: The map shows the current situation of pollen and spore monitoring and facilitates collaboration among those individuals who are interested in pollen and spore counts. It might also help to improve the monitoring of biological particles up to the current level employed for non-biological components.
Ambient air quality monitoring is a governmental duty that is widely carried out in order to detect non-biological ("chemical") components in ambient air, such as particles of 500). The prevalent monitoring method is based on the Hirst principle (> 600 stations). The inventory is visualised as an interactive and on-line map. It can be searched, its appearance can be adjusted to the users' needs and it is updated regularly, as new stations or changes to those that already exist can be submitted online.The map shows the current situation of pollen and spore monitoring and facilitates collaboration among those individuals who are interested in pollen and spore counts. It might also help to improve the monitoring of biological particles up to the current level employed for non-biological components.
In: Bousquet, J., Agache, I., Anto, J. M., Bergmann, K. C., Bachert, C., Annesi-Maesano, I., Bousquet, P. J., D'Amato, G., Demoly, P., De Vries, G., Eller, E., Fokkens, W. J., Fonseca, J., Haahtela, T., Hellings, P. W., Just, J., Keil, T., Klimek, L., Kuna, P., Carlsen, K. C. Lodrup, Moesges, R., Murray, R., Nekam, K., Onorato, G., Papadopoulos, N. G., Samolinski, B., Schmid-Grendelmeier, P., Thibaudon, M., Tomazic, P., Triggiani, M., Valiulis, A., Valovirta, E., Van Eerd, M., Wickman, M., Zuberbier, T. and Sheikh, A. (2017). Google Trends terms reporting rhinitis and related topics differ in European countries. Allergy, 72 (8). S. 1261 - 1267. HOBOKEN: WILEY. ISSN 1398-9995
Google Trends (GT) searches trends of specific queries in Google and reflects the real-life epidemiology of allergic rhinitis. We compared Google Trends terms related to allergy and rhinitis in all European Union countries, Norway and Switzerland from 1 January 2011 to 20 December 2016. The aim was to assesswhether the same terms could be used to report the seasonal variations of allergic diseases. Using the Google Trend 5-year graph, an annual and clear seasonality of queries was found in all countries apart from Cyprus, Estonia, Latvia, Lithuania and Malta. Different terms were found to demonstrate seasonality depending on the country - namely 'hay fever', 'allergy' and 'pollen' - showing cultural differences. A single set of terms cannot be used across all European countries, but allergy seasonality can be compared across Europe providing the above three terms are used. Using longitudinal data in different countries and multiple terms, we identified an awareness-related spike of searches (December 2016).
In: Bousquet , J , Agache , I , Anto , J M , Bergmann , K C , Bachert , C , Annesi-Maesano , I , Bousquet , P J , D'Amato , G , Demoly , P , De Vries , G , Eller , E , Fokkens , W J , Fonseca , J , Haahtela , T , Hellings , P W , Just , J , Keil , T , Klimek , L , Kuna , P , Lodrup Carlsen , K C , Mösges , R , Murray , R , Nekam , K , Onorato , G , Papadopoulos , N G , Samolinski , B , Schmid-Grendelmeier , P , Thibaudon , M , Tomazic , P , Triggiani , M , Valiulis , A , Valovirta , E , van Eerd , M , Wickman , M , Zuberbier , T & Sheikh , A 2017 , ' Google Trends terms reporting rhinitis and related topics differ in European countries ' , Allergy: European Journal of Allergy and Clinical Immunology , vol. 72 , no. 8 , pp. 1261–1266 . https://doi.org/10.1111/all.13137
Google Trends (GT) searches trends of specific queries in Google and reflects the real-life epidemiology of allergic rhinitis. We compared Google Trends terms related to allergy and rhinitis in all European Union countries, Norway and Switzerland from 1 January 2011 to 20 December 2016. The aim was to assess whether the same terms could be used to report the seasonal variations of allergic diseases. Using the Google Trend 5-year graph, an annual and clear seasonality of queries was found in all countries apart from Cyprus, Estonia, Latvia, Lithuania and Malta. Different terms were found to demonstrate seasonality depending on the country - namely 'hay fever', 'allergy' and 'pollen' - showing cultural differences. A single set of terms cannot be used across all European countries, but allergy seasonality can be compared across Europe providing the above three terms are used. Using longitudinal data in different countries and multiple terms, we identified an awareness-related spike of searches (December 2016).
