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Initial Observations of Psychological and Behavioral Effects of COVID-19 in the United States, Using Google Trends Data

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  • Goldman, Daniel S

Abstract

Google Trends offers researchers a glimpse inside the minds of a large group of people, all at once, and offers a very high resolution as well. As a result, trend data may be useful for identifying rapid changes in day to day psychological states and behaviors associated with the COVID-19 outbreak. This paper analyzes stress related search terms as well as food related search terms, and identifies changes in patterns for each that appear to be associated with the outbreak.

Suggested Citation

  • Goldman, Daniel S, 2020. "Initial Observations of Psychological and Behavioral Effects of COVID-19 in the United States, Using Google Trends Data," SocArXiv jecqp, Center for Open Science.
    • Handle: RePEc:osf:socarx:jecqp
    DOI: 10.31219/osf.io/jecqp
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    References listed on IDEAS

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    1. Jun, Seung-Pyo & Yoo, Hyoung Sun & Choi, San, 2018. "Ten years of research change using Google Trends: From the perspective of big data utilizations and applications," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 69-87.
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