Utilizing Big Data From Google Trends to Map Population Depression in the United States: Exploratory Infodemiology Study.

Alex J Wang Robert M McCarron Daniel B Azzam Annamarie Stehli Glen Xiong Jeremy DeMartini

Published in: JMIR mental health (2022)

The trends extrapolated from Google Trends successfully correlate with known risk factors for depression, such as seasonality and increasing latitude. These findings suggest that Google Trends may be a valid novel epidemiological tool to map depression prevalence in the United States.

Keyphrases

big data
depressive symptoms
artificial intelligence
machine learning
risk factors
physical activity
high density