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Using Google Trends to understand information-seeking behaviour about throat cancer

Published online by Cambridge University Press:  08 July 2019

M Faoury ,
T Upile  and
N Patel
M Faoury*
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, University Hospital Southampton, UK
T Upile
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, University Hospital Southampton, UK
N Patel
Affiliation:
Department of Otolaryngology – Head and Neck Surgery, University Hospital Southampton, UK
*
Author for correspondence: Dr Morad Faoury, Department of Otolaryngology – Head and Neck Surgery, University Hospital Southampton, Tremona Road, Southampton SO16 6YD, UK E-mail: [email protected] Fax: 02380 333043
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Abstract

Objective

Many people seek health information from internet sources. Understanding this behaviour can help inform healthcare delivery. This study aimed to review Google Trends as a method for investigating internet-based information-seeking behaviour related to throat cancer in terms of quantity, content and thematic analysis.

Method

Data was collected using Google Trends. Normalised data was created using the search terms ‘throat cancer’, ‘cancer’, ‘HPV’, ‘laryngeal cancer’ and ‘head and neck cancer’. The search data was used to analyse the temporal and geographical interest pattern of these terms from 2004 to 2015.

Results

Three important peaks in searches for ‘throat cancer’ were identified. The first and greatest increase in interest was in September 2010, and there were also peaks in June 2013 and in October 2011.

Conclusion

Internet-search analysis can provide an insight into the information-seeking behaviour of the public. Mass media can hugely affect this information-seeking behaviour. Possessing tools to investigate and understand information-seeking behaviour may be used to improve healthcare delivery.

Keywords

PharynxPapillomavirus InfectionsHead And Neck NeoplasmsCorrelation Of DataData Analysis
Type
Main Articles
Information
The Journal of Laryngology & Otology , Volume 133 , Issue 7 , July 2019 , pp. 610 - 614
Copyright
Copyright © JLO (1984) Limited, 2019 

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Footnotes

Dr M Faoury takes responsibility for the integrity of the content of the paper

Presented at the British Association of Head and Neck Oncologists annual scientific meeting, 12 May 2017, London, UK.

References

1Hilger, C, Otto, I, Hill, C, Huber, T, Kendel, F. “Dr. Google”-information-seeking behavior and disease-specific anxiety among men with localized prostate cancer [in German]. Urologe A 2018;1:1–6Google Scholar
2Willard, SD, Nguyen, M. Internet search trends analysis tools can provide real time data on kidney stone disease in the United States. Urology 2013;81:37–42Google Scholar
3The social life of health information. In: http://www.pewinternet.org [11 June 2009]Google Scholar
4Search engine market share worldwide. In: http://gs.statcounter.com/search-engine-market-share [25 July 2018]Google Scholar
5Alexa top sites by category – Search Engine Ranking. In: https://www.alexa.com/topsites/category/Regional [May 16, 2013]Google Scholar
6Google search statistics. Internet live stats. In: www.internetlivestats.com [30 May 2018]Google Scholar
7Edosomwan, J, Edosomwan, TO. Comparative analysis of some search engines. S Afr J Sci 2010;106:11–12Google Scholar
8Eysenbach, G. Infodemiology and infoveillance: framework for an emerging set of public health informatics methods to analyze search, communication and publication behaviour on the internet. J Med Internet Res 2009;11:e11Google Scholar
9Ginsberg, J, Mohebbi, MH, Patel, RS, Brammer, L, Smolinski, MS, Brilliant, L. Detecting influenza epidemics using search engine query data. Nature 2009;457:1012–14Google Scholar
10Valdivia, A, Lopez-Alcalde, J, Vicente, M, Pichiule, M, Ruiz, M, Ordobas, M. Monitoring influenza activity in Europe with Google Flu Trends: comparison with the findings of sentinel physician networks - results for 2009–10. Euro Surveill 2010;15:2–7Google Scholar
11Nuti, SV, Wayda, B, Ranasinghe, I, Wang, S, Dreyer, RP, Chen, SI et al. The use of google trends in health care research: a systematic review. PLoS One 2014;9:e109583Google Scholar
12How to use Google Trends to gain a competitive edge. In: https://www.hallaminternet.com/google-trends-introduction-business [6 December 2016]Google Scholar
13Mondria, J, Wu, T. Imperfect financial integration and asymmetric information: competing explanations of the home bias puzzle? Canadian Journal of Economics 2013;46:310–37Google Scholar
14Institute of Medicine (US) committee on a national surveillance system for cardiovascular and select chronic diseases. A Nationwide Framework for Surveillance of Cardiovascular and Chronic Lung Diseases. Washington, DC: National Academies Press, 2011Google Scholar
15Wakefield, M.A, Loken, B, Hornik, R.C. Use of mass media campaigns to change health behaviour. Lancet 2010;376:1261–71Google Scholar
16Schootman, M, Toor, A, Cavazos-Rehg, P, Jeffe, DB, McQueen, A, Eberth, J et al. The utility of google trends data to examine interest in cancer screening. BMJ Open 2015;5:e006678Google Scholar