Mining Google Trends Data for Health Information: The Case of the Irish "CervicalCheck" Screening Programme Revelations

被引:7
|
作者
Ryan, Paul M. [1 ]
Ryan, C. Anthony [2 ]
机构
[1] Univ Coll Cork, Sch Med, Cork, Ireland
[2] Univ Coll Cork, Pediat & Child Hlth, Cork, Ireland
关键词
cervicalcheck; smear test; hpv; google trends;
D O I
10.7759/cureus.5513
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background In April 2018, the Irish cervical smear screening programme, "CervicalCheck", came under intense scrutiny as the accuracy of hundreds of "negative" results were brought in question. Aim The goal of this brief report was to assess the impact of this real-life event on public information-seeking behaviour, using Google search anomalies as a proxy. Irish relative search volume data for several terms relating to cervical testing/cancer and human papillomavirus were extracted for a five-year period from February 2014 to January 2019 and analysed for the presence of anomalous spikes and shifts in the mean baseline. Results An unprecedented positive spike in searches relating to cervical testing/cancer was observed immediately after the CervicalCheck revelations, which remained anomalous for the month to follow (p < 0.05). This public interest preceded a mirroring increase in uptake of complimentary consultations offered by the Department of Health to the women concerned. Despite this service engagement and interest in cervical health, the relative search volumes for terms " human papillomavirus infection" and "HPV vaccine" were just 78 and 51% of their maximum search volume for the five-year period. Conclusions Anomaly analysis revealed an unprecedented spike in information-seeking behaviour following the CervicalCheck revelations. However, this was not associated with a comparable elevation in HPV interest. This suggests that more public education and promotion of the HPV vaccine is warranted, in the context of vastly reduced uptake in recent years. Finally, Google Trends data represents a free an open source means by which to assess information-seeking behaviour of the public in relation to health and disease.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Google Trends Extraction Tool for Google Trends Extended for Health data
    Raubenheimer, Jacques Eugene
    SOFTWARE IMPACTS, 2021, 8
  • [2] Novel Data Sources for Women's Health Research: Mapping Breast Screening Information Seeking Through Google Trends
    Dehkordy, Soudabeh Fazeli
    Carlos, Ruth
    Hall, Kelli
    Dalton, Vanessa
    JOURNAL OF WOMENS HEALTH, 2014, 23 (04) : 25 - 26
  • [3] The impact of a workplace health screening programme on the health practices of Irish farmers
    Richardson, N.
    van Doorn, D.
    EUROPEAN JOURNAL OF PUBLIC HEALTH, 2017, 27
  • [4] Novel Data Sources for Women's Health Research: Mapping Breast Screening Online Information Seeking Through Google Trends
    Dehkordy, Soudabeh Fazeli
    Carlos, Ruth C.
    Hall, Kelli S.
    Dalton, Vanessa K.
    ACADEMIC RADIOLOGY, 2014, 21 (09) : 1172 - 1176
  • [5] Google Trends for Data Mining. Study of Czech Towns
    Horak, Jiri
    Ivan, Igor
    Kukuliac, Pavel
    Inspektor, Tomas
    Devecka, Branislav
    Navratova, Marketa
    COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, 2013, 8083 : 100 - 109
  • [6] Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data
    Tana, Jonas Christoffer
    Kettunen, Jyrki
    Eirola, Emil
    Paakkonen, Heikki
    JMIR MENTAL HEALTH, 2018, 5 (02):
  • [7] The utility of Google Trends data to examine interest in cancer screening
    Schootman, M.
    Toor, A.
    Cavazos-Rehg, P.
    Jeffe, D. B.
    McQueen, A.
    Eberth, J.
    Davidson, N. O.
    BMJ OPEN, 2015, 5 (06):
  • [8] Harnessing Google Health Trends Data for Epidemiologic Research
    Neumann, Krista
    Mason, Susan M.
    Farkas, Kriszta
    Santaularia, N. Jeanie
    Ahern, Jennifer
    Riddell, Corinne A.
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2023, 192 (03) : 430 - 437
  • [9] Data mining in health risk screening
    Maciel, Thales Vaz
    Seus, Vinicius Rosa
    Machado, Karina dos Santos
    Borges, Eduardo Nunes
    REVISTA BRASILEIRA DE COMPUTACAO APLICADA, 2015, 7 (02): : 26 - 40
  • [10] Referred by Google: mining Google Trends data to identify patterns in and correlates to searches for dermatological concerns and providers
    Ransohoff, J. D.
    Sarin, K. Y.
    BRITISH JOURNAL OF DERMATOLOGY, 2018, 178 (03) : 794 - 795