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Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland

BACKGROUND: Limited timely, cost-effective, and regional availability of healthcare data is considered one of the limiting factors for timely analyses in the field of health services research and thus for healthcare delivery to the general population. Thus, Internet search engine analyses are coming...

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Detalles Bibliográficos
Autores principales: Ziehfreund, S., Tizek, L., Zink, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Medizin 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609262/
https://www.ncbi.nlm.nih.gov/pubmed/34812913
http://dx.doi.org/10.1007/s00105-021-04918-x
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author Ziehfreund, S.
Tizek, L.
Zink, A.
author_facet Ziehfreund, S.
Tizek, L.
Zink, A.
author_sort Ziehfreund, S.
collection PubMed
description BACKGROUND: Limited timely, cost-effective, and regional availability of healthcare data is considered one of the limiting factors for timely analyses in the field of health services research and thus for healthcare delivery to the general population. Thus, Internet search engine analyses are coming into focus in this context. OBJECTIVES: What contribution can data on the volume of Internet searches for various diseases make to the health care of the German population? Where is the potential and where are the limitations? METHODS: A review of the current literature and a selective overview of Internet search engine analyses of dermatological, allergological, and infectious diseases published in the last 4 years in Germany were performed. RESULTS: By analyzing web search data, temporal developments such as seasonality, months with the highest interest, and geographical differences can be mapped at the national, state (Bundesländer), and city level and major points of interest (e.g., skin cancer of the eye or anal itching) regarding a certain health topic can be identified. In addition, some studies were able to show correlations between search volume and external factors (e.g., temperature, care structure) and to registered cases (e.g., skin cancer, Lyme disease). CONCLUSION: Web search data, given the limitations noted, are able to directly provide spatiotemporal mapping regarding the needs of the Internet-using population. They are particularly useful in situations where traditional health data are limited or unavailable.
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spelling pubmed-86092622021-11-23 Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland Ziehfreund, S. Tizek, L. Zink, A. Hautarzt Leitthema BACKGROUND: Limited timely, cost-effective, and regional availability of healthcare data is considered one of the limiting factors for timely analyses in the field of health services research and thus for healthcare delivery to the general population. Thus, Internet search engine analyses are coming into focus in this context. OBJECTIVES: What contribution can data on the volume of Internet searches for various diseases make to the health care of the German population? Where is the potential and where are the limitations? METHODS: A review of the current literature and a selective overview of Internet search engine analyses of dermatological, allergological, and infectious diseases published in the last 4 years in Germany were performed. RESULTS: By analyzing web search data, temporal developments such as seasonality, months with the highest interest, and geographical differences can be mapped at the national, state (Bundesländer), and city level and major points of interest (e.g., skin cancer of the eye or anal itching) regarding a certain health topic can be identified. In addition, some studies were able to show correlations between search volume and external factors (e.g., temperature, care structure) and to registered cases (e.g., skin cancer, Lyme disease). CONCLUSION: Web search data, given the limitations noted, are able to directly provide spatiotemporal mapping regarding the needs of the Internet-using population. They are particularly useful in situations where traditional health data are limited or unavailable. Springer Medizin 2021-11-23 2022 /pmc/articles/PMC8609262/ /pubmed/34812913 http://dx.doi.org/10.1007/s00105-021-04918-x Text en © The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Leitthema
Ziehfreund, S.
Tizek, L.
Zink, A.
Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland
title Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland
title_full Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland
title_fullStr Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland
title_full_unstemmed Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland
title_short Websearch-Daten als Gesundheitsdaten?: Geografische Unterschiede, zeitliche Trends und Interessenschwerpunkte von Internetsuchmaschinenanfragen in Deutschland
title_sort websearch-daten als gesundheitsdaten?: geografische unterschiede, zeitliche trends und interessenschwerpunkte von internetsuchmaschinenanfragen in deutschland
topic Leitthema
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8609262/
https://www.ncbi.nlm.nih.gov/pubmed/34812913
http://dx.doi.org/10.1007/s00105-021-04918-x
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