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Published in: Digestive Diseases and Sciences 3/2017

01-03-2017 | Original Article

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

Authors: Benjamin G. Hassid, Lukejohn W. Day, Mohannad A. Awad, Justin L. Sewell, E. Charles Osterberg, Benjamin N. Breyer

Published in: Digestive Diseases and Sciences | Issue 3/2017

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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.
Literature
3.
go back to reference Ginsberg J, Mohebbi MH, Patel RS, et al. Detecting influenza epidemics using search engine query data. Nature. 2009;457:1012–1014.CrossRefPubMed Ginsberg J, Mohebbi MH, Patel RS, et al. Detecting influenza epidemics using search engine query data. Nature. 2009;457:1012–1014.CrossRefPubMed
4.
go back to reference Breyer BN, Sen S, Aaronson DS, et al. Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States. Urology. 2011;78:267–271.CrossRefPubMedPubMedCentral Breyer BN, Sen S, Aaronson DS, et al. Use of Google Insights for Search to track seasonal and geographic kidney stone incidence in the United States. Urology. 2011;78:267–271.CrossRefPubMedPubMedCentral
6.
go back to reference Gunn JF 3rd, Lester D. Using google searches on the internet to monitor suicidal behavior. J Affect Disord. 2013;148:411–412.CrossRefPubMed Gunn JF 3rd, Lester D. Using google searches on the internet to monitor suicidal behavior. J Affect Disord. 2013;148:411–412.CrossRefPubMed
7.
go back to reference Peery AF, Dellon ES, Lund J, et al. Burden of gastrointestinal disease in the United States: 2012 update. Gastroenterology. 2012;143:1179-87.e-1–1179-87.e-3.CrossRef Peery AF, Dellon ES, Lund J, et al. Burden of gastrointestinal disease in the United States: 2012 update. Gastroenterology. 2012;143:1179-87.e-1–1179-87.e-3.CrossRef
Metadata
Title
Using Search Engine Query Data to Explore the Epidemiology of Common Gastrointestinal Symptoms
Authors
Benjamin G. Hassid
Lukejohn W. Day
Mohannad A. Awad
Justin L. Sewell
E. Charles Osterberg
Benjamin N. Breyer
Publication date
01-03-2017
Publisher
Springer US
Published in
Digestive Diseases and Sciences / Issue 3/2017
Print ISSN: 0163-2116
Electronic ISSN: 1573-2568
DOI
https://doi.org/10.1007/s10620-016-4384-y

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