Burden of atopic dermatitis in Europe: A population‐centred approach leveraging web search data in 21 European countries

Author:

Wecker Hannah1ORCID,Ziehfreund Stefanie1ORCID,Sitaru Sebastian1ORCID,Johansson Emma K.23,Elberling Jesper45,Doll Anaïs1,Nicolaidou Electra6ORCID,Scala Emanuele78ORCID,Boffa Michael J.9,Schmidt Lea1,Sikora Mariusz10,Torres Tiago11ORCID,Chernyshov Pavel V.12ORCID,Zink Alexander12ORCID

Affiliation:

1. Department of Dermatology and Allergy, TUM School of Medicine and Health Technical University of Munich Munich Germany

2. Division of Dermatology and Venereology, Department of Medicine Solna Karolinska Institutet Stockholm Sweden

3. Department of Dermatology and Venereology Karolinska University Hospital Stockholm Sweden

4. Department of Dermatology and Allergy Herlev and Gentofte Hospital Copenhagen Denmark

5. Department of Clinical Medicine University of Copenhagen Copenhagen Denmark

6. 1st Department of Dermatology and Venereology, Medical School National and Kapodistrian University of Athens Athens Greece

7. Department of Dermatology and Venereology, Medical Center – University of Freiburg, Faculty of Medicine University of Freiburg Freiburg Germany

8. Division of Dermatology and Venereology, Department of Medicine Solna and Center for Molecular Medicine Karolinska Institutet Stockholm Sweden

9. Department of Dermatology Mater Dei Hospital Msida Malta

10. National Institute of Geriatrics, Rheumatology and Rehabilitation Warsaw Poland

11. Department of Dermatology, Centro Hospitalar Universitário de Santo António University of Porto Porto Portugal

12. Department of Dermatology and Venereology National Medical University Kiev Ukraine

Abstract

AbstractBackgroundThe complexity, high prevalence, and substantial personal and socioeconomic burden collectively render atopic dermatitis (AD) a major public health concern. Using crowdsourced Internet data has the potential to provide unique insights into this concern, as demonstrated by several previous studies. However, a comprehensive comparison across European countries remains lacking.ObjectivesThe study aimed to investigate AD‐related web searches across Europe to assess spatiotemporal variations and associations between disease‐related and external factors.MethodsAD‐related web search data were extracted for 21 European countries between February 2019 and January 2023. Descriptive analysis and autocorrelation functions were performed to examine spatiotemporal patterns. Correlations (r) were used to evaluate the associations between web searches and disease‐related, socioeconomic and meteorological data.ResultsOver 241 million AD‐related web searches were identified, with search volume varying substantially among European countries (p < 0.001) and correlating with AD prevalence and disease burden (both r = 0.51, p = 0.019). Search volume increased between 2019 and 2023 in all countries and seasonally peaked in January and March. Negative correlations with median population age (r = −0.46, p = 0.039), number of general practitioners (r = −0.29, p = 0.226) and specialists (r = −0.27, p = 0.270) were observed. Moderate to strong correlations were found between search volume and cold, humid and windy weather with fewer sunshine hours, while higher online interest typically occurred 1–3 months after such weather conditions.ConclusionThe study highlights the great potential of online crowdsourced data analysis, for example, to investigate the impact of climate change or to identify unmet needs at a population level. Furthermore, the growing online interest in AD and the corresponding seasonal peaks emphasize the necessity of adapting treatment plans, intensifying public health campaigns, and disseminating reliable online information by governments and healthcare providers, especially during these periods.

Funder

Technische Universität München

Publisher

Wiley

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