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[On the seasonality of dermatoses: a retrospective analysis of search engine query data depending on the season]. / Zur Saisonalität von Dermatosen: Retrospektive Analyse der Häufigkeiten von Suchmaschinenabfragen in Abhängigkeit von der Jahreszeit.
Köhler, M J; Springer, S; Kaatz, M.
Affiliation
  • Köhler MJ; Klinik für Hautkrankheiten, Universitätsklinikum Jena, Erfurter Str. 35, 07743, Jena, Deutschland, johannes.koehler@med.uni-jena.de.
Hautarzt ; 65(9): 814-22, 2014 Sep.
Article in De | MEDLINE | ID: mdl-25234631
ABSTRACT

BACKGROUND:

The volume of search engine queries about disease-relevant items reflects public interest and correlates with disease prevalence as proven by the example of flu (influenza). Other influences include media attention or holidays. STUDY GOAL The present work investigates if the seasonality of prevalence or symptom severity of dermatoses correlates with search engine query data.

METHODS:

The relative weekly volume of dermatological relevant search terms was assessed by the online tool Google Trends for the years 2009-2013. For each item, the degree of seasonality was calculated via frequency analysis and a geometric approach.

RESULTS:

Many dermatoses show a marked seasonality, reflected by search engine query volumes. Unexpected seasonal variations of these queries suggest a previously unknown variability of the respective disease prevalence. Furthermore, using the example of allergic rhinitis, a close correlation of search engine query data with actual pollen count can be demonstrated.

DISCUSSION:

In many cases, search engine query data are appropriate to estimate seasonal variability in prevalence of common dermatoses. This finding may be useful for real-time analysis and formation of hypotheses concerning pathogenetic or symptom aggravating mechanisms and may thus contribute to improvement of diagnostics and prevention of skin diseases.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seasons / Skin Diseases / Population Surveillance / Data Mining / Search Engine Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Limits: Female / Humans / Male Language: De Journal: Hautarzt Year: 2014 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Seasons / Skin Diseases / Population Surveillance / Data Mining / Search Engine Type of study: Incidence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Limits: Female / Humans / Male Language: De Journal: Hautarzt Year: 2014 Document type: Article
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