Harnessing Google Health Trends Data for Epidemiologic Research
- 4 October 2022
- journal article
- research article
- Published by Oxford University Press (OUP) in American Journal of Epidemiology
- Vol. 192 (3), 430-437
- https://doi.org/10.1093/aje/kwac171
Abstract
Interest in using internet search data, such as that from the Google Health Trends Application Programming Interface (GHT-API), to measure epidemiologically relevant exposures or health outcomes is growing due to their accessibility and timeliness. Researchers input search term(s), geography and time period, and the GHT-API returns a scaled probability of that search term, given all searches within the specified geo-time period. In this study, we detail a method for using these data to measure a construct of interest in five iterative steps: first, identify phrases the target population may use to search for the construct of interest; second, refine candidate search phrases with incognito Google searches to improve sensitivity and specificity; third, craft the GHT-API search term(s) by combining the refined phrases; fourth, test search volume and choose geographic and temporal scales; and fifth, retrieve and average multiple samples to stabilize estimates and address missingness. An optional sixth step involves accounting for changes in total search volume by normalizing. We present a case study examining weekly state-level child abuse searches in the United States during the COVID-19 pandemic (January 2018-August 2020) as an application of this method and describe limitations.Keywords
This publication has 16 references indexed in Scilit:
- Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological FrameworkJMIR Research Protocols, 2020
- Google Trends in Infodemiology and Infoveillance: Methodology FrameworkJMIR Public Health and Surveillance, 2019
- Seasonal variation in seeking help for domestic violence based on Google search data and Finnish police calls in 2017Scandinavian Journal of Public Health, 2019
- Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settingsJournal of Epidemiology and Global Health, 2017
- Evaluating Google Flu Trends in Latin America: Important Lessons for the Next Phase of Digital Disease DetectionClinical Infectious Diseases, 2016
- Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related VisitsJournal of Medical Internet Research, 2016
- The Parable of Google Flu: Traps in Big Data AnalysisScience, 2014
- Influenza Forecasting with Google Flu TrendsPLOS ONE, 2013
- Detecting influenza epidemics using search engine query dataNature, 2009
- Disclosure of traumas and psychosomatic processesSocial Science & Medicine (1982), 1988