Literature DB >> 27878646

Using Search Engine Query Data to Explore the Epidemiology of Common Gastrointestinal Symptoms.

Benjamin G Hassid1, Lukejohn W Day2, Mohannad A Awad3, Justin L Sewell2, E Charles Osterberg2, Benjamin N Breyer2.   

Abstract

BACKGROUND: Internet searches are an increasingly used tool in medical research. To date, no studies have examined Google search data in relation to common gastrointestinal symptoms. AIMS: The aim of this study was to compare trends in Internet search volume with clinical datasets for common gastrointestinal symptoms.
METHODS: Using Google Trends, we recorded relative changes in volume of searches related to dysphagia, vomiting, and diarrhea in the USA between January 2008 and January 2011. We queried the National Inpatient Sample (NIS) and the National Hospital Ambulatory Medical Care Survey (NHAMCS) during this time period and identified cases related to these symptoms. We assessed the correlation between Google Trends and these two clinical datasets, as well as examined seasonal variation trends.
RESULTS: Changes to Google search volume for all three symptoms correlated significantly with changes to NIS output (dysphagia: r = 0.5, P = 0.002; diarrhea: r = 0.79, P < 0.001; vomiting: r = 0.76, P < 0.001). Both Google and NIS data showed that the prevalence of all three symptoms rose during the time period studied. On the other hand, the NHAMCS data trends during this time period did not correlate well with either the NIS or the Google data for any of the three symptoms studied. Both the NIS and Google data showed modest seasonal variation.
CONCLUSIONS: Changes to the population burden of chronic GI symptoms may be tracked by monitoring changes to Google search engine query volume over time. These data demonstrate that the prevalence of common GI symptoms is rising over time.

Entities:  

Keywords:  Diarrhea; Dysphagia; Epidemiology; Google; Trends; Vomiting

Mesh:

Year:  2016        PMID: 27878646     DOI: 10.1007/s10620-016-4384-y

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


  6 in total

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Authors:  Benjamin N Breyer; Michael L Eisenberg
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2.  Using google searches on the internet to monitor suicidal behavior.

Authors:  John F Gunn; David Lester
Journal:  J Affect Disord       Date:  2012-11-23       Impact factor: 4.839

3.  Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States.

Authors:  Benjamin N Breyer; Saunak Sen; David S Aaronson; Marshall L Stoller; Bradley A Erickson; Michael L Eisenberg
Journal:  Urology       Date:  2011-04-03       Impact factor: 2.649

4.  Burden of gastrointestinal disease in the United States: 2012 update.

Authors:  Anne F Peery; Evan S Dellon; Jennifer Lund; Seth D Crockett; Christopher E McGowan; William J Bulsiewicz; Lisa M Gangarosa; Michelle T Thiny; Karyn Stizenberg; Douglas R Morgan; Yehuda Ringel; Hannah P Kim; Marco Dacosta DiBonaventura; Charlotte F Carroll; Jeffery K Allen; Suzanne F Cook; Robert S Sandler; Michael D Kappelman; Nicholas J Shaheen
Journal:  Gastroenterology       Date:  2012-08-08       Impact factor: 22.682

5.  Detecting influenza epidemics using search engine query data.

Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
Journal:  Nature       Date:  2009-02-19       Impact factor: 49.962

6.  The use of google trends in health care research: a systematic review.

Authors:  Sudhakar V Nuti; Brian Wayda; Isuru Ranasinghe; Sisi Wang; Rachel P Dreyer; Serene I Chen; Karthik Murugiah
Journal:  PLoS One       Date:  2014-10-22       Impact factor: 3.240

  6 in total
  7 in total

1.  The Premise and Promise of Big Data for Tracking Population Health: Big Deal or Big Disappointment?

Authors:  Emad Mansoor; Sadeer G Al-Kindi
Journal:  Dig Dis Sci       Date:  2017-03       Impact factor: 3.199

2.  Changes in National Google Trends and Local Healthcare Utilization After High-Impact Gastroenterology Publications.

Authors:  Amrit K Kamboj; Siddharth Agarwal; Victor G Chedid; Prasad G Iyer; Kent R Bailey; William S Harmsen; David A Katzka
Journal:  Am J Gastroenterol       Date:  2021-12-01       Impact factor: 10.864

Review 3.  Prevalence of Nausea and Vomiting in Adults Using Ropinirole: A Systematic Review and Meta-Analysis.

Authors:  Michael Kurin; Klaus Bielefeldt; David J Levinthal
Journal:  Dig Dis Sci       Date:  2018-01-30       Impact factor: 3.199

4.  Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review.

Authors:  Amaryllis Mavragani; Gabriela Ochoa; Konstantinos P Tsagarakis
Journal:  J Med Internet Res       Date:  2018-11-06       Impact factor: 5.428

5.  Lifestyle Disease Surveillance Using Population Search Behavior: Feasibility Study.

Authors:  Shahan Ali Memon; Saquib Razak; Ingmar Weber
Journal:  J Med Internet Res       Date:  2020-01-27       Impact factor: 5.428

6.  Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings.

Authors:  Gianfranco Cervellin; Ivan Comelli; Giuseppe Lippi
Journal:  J Epidemiol Glob Health       Date:  2017-06-09

7.  Heartburn-Related Internet Searches and Trends of Interest across Six Western Countries: A Four-Year Retrospective Analysis Using Google Ads Keyword Planner.

Authors:  Mikołaj Kamiński; Igor Łoniewski; Agata Misera; Wojciech Marlicz
Journal:  Int J Environ Res Public Health       Date:  2019-11-20       Impact factor: 3.390

  7 in total

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