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Wecker H, Tizek L, Ziehfreund S, Kain A, Traidl-Hoffmann C, Zimmermann GS, Scala E, Elberling J, Doll A, Boffa MJ, Schmidt L, Sikora M, Torres T, Ballardini N, Chernyshov PV, Buters J, Biedermann T, Zink A
World Allergy Organ J 16 (8) 100805 [2023-08-00; online 2023-08-02]
Asthma is a chronic inflammatory disorder of the airways and one of the most important non-communicable diseases worldwide. Analyzing crowdsourced data can help understand public interest and unmet needs as well as potential factors influencing search behavior. The study aimed to investigate asthma-related web search data in Europe to identify possible regional and seasonal variations and to assess public interest. Google Ads Keyword Planner was used to measure search volume for search terms related to asthma, allergic asthma, and bronchial asthma in 21 European countries between January 2018 and December 2021. The top 10 keywords of each country were categorized qualitatively. Search volume per 100 000 inhabitants was descriptively assessed in terms of regional and seasonal trends. Spearman correlations between search volume and pollen concentration as well as coronavirus disease (COVID-19) cases were investigated. The median search volume per 100 000 inhabitants for asthma and allergic asthma was highest in Northern and Western Europe, while the highest search volume for bronchial asthma was observed in Western and Eastern regions. A seasonal trend was identified for all search terms and in all regions. Correlations were found between search frequency and pollen load and search behavior and COVID-19 cases. Overall, Europeans were most interested in the diseases in general, their treatment options, and symptoms. These results highlighted the need for reliable and region-specific information about the disease and for public campaigns to improve asthma control. The study also emphasizes the importance of using crowdsourced data for a more encompassing overview beyond conventional healthcare data.
PubMed 37564904
DOI 10.1016/j.waojou.2023.100805
Crossref 10.1016/j.waojou.2023.100805
pmc: PMC10410582
pii: S1939-4551(23)00065-0