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Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis
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 asses...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426197/ https://www.ncbi.nlm.nih.gov/pubmed/37580664 http://dx.doi.org/10.1186/s12889-023-16463-4 |
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author | Kain, Alphina Tizek, Linda Wecker, Hannah Wallnöfer, Fabian Biedermann, Tilo Zink, Alexander |
author_facet | Kain, Alphina Tizek, Linda Wecker, Hannah Wallnöfer, Fabian Biedermann, Tilo Zink, Alexander |
author_sort | Kain, Alphina |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16463-4. |
format | Online Article Text |
id | pubmed-10426197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104261972023-08-16 Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis Kain, Alphina Tizek, Linda Wecker, Hannah Wallnöfer, Fabian Biedermann, Tilo Zink, Alexander BMC Public Health Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16463-4. BioMed Central 2023-08-15 /pmc/articles/PMC10426197/ /pubmed/37580664 http://dx.doi.org/10.1186/s12889-023-16463-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kain, Alphina Tizek, Linda Wecker, Hannah Wallnöfer, Fabian Biedermann, Tilo Zink, Alexander Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis |
title | Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis |
title_full | Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis |
title_fullStr | Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis |
title_full_unstemmed | Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis |
title_short | Evaluating public interest in herpes zoster in Germany by leveraging the internet: a retrospective search data analysis |
title_sort | evaluating public interest in herpes zoster in germany by leveraging the internet: a retrospective search data analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426197/ https://www.ncbi.nlm.nih.gov/pubmed/37580664 http://dx.doi.org/10.1186/s12889-023-16463-4 |
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