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

Abstract Internet-derived information has been recently recognized as a valuable tool for epidemiological investigation. Google Trends, a Google Inc. portal, generates data on geographical and temporal patterns according to specified keywords. The aim of this study was to compare the reliability of...

Full description

Bibliographic Details
Main Authors: Gianfranco Cervellin, Ivan Comelli, Giuseppe Lippi
Format: Article
Language:English
Published: Springer 2017-06-01
Series:Journal of Epidemiology and Global Health
Subjects:
Online Access:https://doi.org/10.1016/jjegh.2017.06.001
_version_ 1797363638721314816
author Gianfranco Cervellin
Ivan Comelli
Giuseppe Lippi
author_facet Gianfranco Cervellin
Ivan Comelli
Giuseppe Lippi
author_sort Gianfranco Cervellin
collection DOAJ
description Abstract Internet-derived information has been recently recognized as a valuable tool for epidemiological investigation. Google Trends, a Google Inc. portal, generates data on geographical and temporal patterns according to specified keywords. The aim of this study was to compare the reliability of Google Trends in different clinical settings, for both common diseases with lower media coverage, and for less common diseases attracting major media coverage. We carried out a search in Google Trends using the keywords “renal colic”, “epistaxis”, and “mushroom poisoning”, selected on the basis of available and reliable epidemiological data. Besides this search, we carried out a second search for three clinical conditions (i.e., “meningitis”, “Legionella Pneumophila pneumonia”, and “Ebola fever”), which recently received major focus by the Italian media. In our analysis, no correlation was found between data captured from Google Trends and epidemiology of renal colics, epistaxis and mushroom poisoning. Only when searching for the term “mushroom” alone the Google Trends search generated a seasonal pattern which almost overlaps with the epidemiological profile, but this was probably mostly due to searches for harvesting and cooking rather than to for poisoning. The Google Trends data also failed to reflect the geographical and temporary patterns of disease for meningitis, Legionella Pneumophila pneumonia and Ebola fever. The results of our study confirm that Google Trends has modest reliability for defining the epidemiology of relatively common diseases with minor media coverage, or relatively rare diseases with higher audience. Overall, Google Trends seems to be more influenced by the media clamor than by true epidemiological burden.
first_indexed 2024-03-08T16:23:57Z
format Article
id doaj.art-0d8d3039ab3b4ac5b8c347c623bae256
institution Directory Open Access Journal
issn 2210-6006
2210-6014
language English
last_indexed 2024-03-08T16:23:57Z
publishDate 2017-06-01
publisher Springer
record_format Article
series Journal of Epidemiology and Global Health
spelling doaj.art-0d8d3039ab3b4ac5b8c347c623bae2562024-01-07T12:08:35ZengSpringerJournal of Epidemiology and Global Health2210-60062210-60142017-06-017318518910.1016/jjegh.2017.06.001Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settingsGianfranco Cervellin0Ivan Comelli1Giuseppe Lippi2Emergency Department, Academic Hospital of ParmaEmergency Department, Academic Hospital of ParmaSection of Clinical Biochemistry, University of VeronaAbstract Internet-derived information has been recently recognized as a valuable tool for epidemiological investigation. Google Trends, a Google Inc. portal, generates data on geographical and temporal patterns according to specified keywords. The aim of this study was to compare the reliability of Google Trends in different clinical settings, for both common diseases with lower media coverage, and for less common diseases attracting major media coverage. We carried out a search in Google Trends using the keywords “renal colic”, “epistaxis”, and “mushroom poisoning”, selected on the basis of available and reliable epidemiological data. Besides this search, we carried out a second search for three clinical conditions (i.e., “meningitis”, “Legionella Pneumophila pneumonia”, and “Ebola fever”), which recently received major focus by the Italian media. In our analysis, no correlation was found between data captured from Google Trends and epidemiology of renal colics, epistaxis and mushroom poisoning. Only when searching for the term “mushroom” alone the Google Trends search generated a seasonal pattern which almost overlaps with the epidemiological profile, but this was probably mostly due to searches for harvesting and cooking rather than to for poisoning. The Google Trends data also failed to reflect the geographical and temporary patterns of disease for meningitis, Legionella Pneumophila pneumonia and Ebola fever. The results of our study confirm that Google Trends has modest reliability for defining the epidemiology of relatively common diseases with minor media coverage, or relatively rare diseases with higher audience. Overall, Google Trends seems to be more influenced by the media clamor than by true epidemiological burden.https://doi.org/10.1016/jjegh.2017.06.001Digital epidemiologyGoogle TrendsRenal colicEpistaxisMushroom poisoning
spellingShingle Gianfranco Cervellin
Ivan Comelli
Giuseppe Lippi
Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
Journal of Epidemiology and Global Health
Digital epidemiology
Google Trends
Renal colic
Epistaxis
Mushroom poisoning
title Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
title_full Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
title_fullStr Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
title_full_unstemmed Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
title_short Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings
title_sort is google trends a reliable tool for digital epidemiology insights from different clinical settings
topic Digital epidemiology
Google Trends
Renal colic
Epistaxis
Mushroom poisoning
url https://doi.org/10.1016/jjegh.2017.06.001
work_keys_str_mv AT gianfrancocervellin isgoogletrendsareliabletoolfordigitalepidemiologyinsightsfromdifferentclinicalsettings
AT ivancomelli isgoogletrendsareliabletoolfordigitalepidemiologyinsightsfromdifferentclinicalsettings
AT giuseppelippi isgoogletrendsareliabletoolfordigitalepidemiologyinsightsfromdifferentclinicalsettings