Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis.

BMC Public Health

School of Medicine, Department of Dermatology and Allergy, Technical University of Munich, Biedersteiner Str. 29, 80802, Munich, Germany.

Published: August 2023

Background: Herpes zoster (HZ) and its complication postherpetic neuralgia (PHN), whose incidence are both expected to increase with an ageing population, have demonstrated high costs on healthcare systems and burden on individual quality of life. Previous studies have shown the possibility of assessing public interest in a disease and factors that influence search behaviour using internet search data. The aim of this study was to analyze internet search data for HZ in Germany to evaluate public interest in the disease and relevant influential temporal and geographic factors that modify search behavior.

Methods: Google Ads Keyword Planner was used to generate a list of HZ-related keywords including their search volume for Germany as a whole and its sixteen federal states from October 2016 to September 2020. All keywords were qualitatively categorized, and changes over time and correlations with population density, physician density, and vaccination rates were assessed using Welch's ANOVA, Bonferroni correction for post-hoc analyses, and Pearson's correlation.

Results: A total of 1,651 relevant keywords with a search volume of 20,816,210 searches were identified. Overall, national search volume increased each year of the study period with a peak in August 2020. More than half of the total search volume related to general queries (55.1%). The highest average monthly search volumes were observed in the states of Hamburg, Saarland, and Bremen. Average monthly search volume showed strong positive correlations with population density (r = .512, p = .043) and a strong negative correlation with the number of inhabitants per working physician (r = -.689, p = .003).

Conclusions: The study demonstrated that evaluating internet search data is a viable method for assessing public interest in HZ, thereby identifying areas of unmet need to support targeted public health campaigns.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426197PMC
http://dx.doi.org/10.1186/s12889-023-16463-4DOI Listing

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