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Updated: May 7, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

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Google Trends applications for COVID-19 pandemic: A bibliometric analysis

Hao Li1,2, Ning Zhang1,3,4, Xingxing Ma3,4

  • 1School of Basic Medical Sciences, Anhui Medical University, Hefei, Anhui, China.

Digital Health
|January 6, 2025
PubMed

Insights

This bibliometric study analyzed Google Trends research on COVID-19, finding key themes like outbreaks and public interest. It highlights the use of Google Trends for tracking public attention during infectious disease epidemics.

Area of Science:

  • Bibliometrics
  • Public Health
  • Data Science

Background:

  • COVID-19 emerged as a severe global health crisis.
  • Google Trends offers insights into public interest and search behavior.
  • No prior bibliometric studies have focused on COVID-19 and Google Trends research.

Purpose of the Study:

  • To conduct a comprehensive bibliometric analysis of Google Trends research related to COVID-19.
  • To identify research trends, hotspots, and collaboration patterns.

Main Methods:

  • Retrieved 467 records from Web of Science Core Collection (2020-2023).
  • Utilized CiteSpace, VOSviewer, and R-software's Bibliometrix package for analysis.
  • Examined temporal-spatial distribution, authors, institutions, keywords, and references.

Main Results:

  • Analysis included 418 articles and 49 reviews, with peak publications in 2021.
  • The United States and China led in publications and showed the closest collaboration.
  • Harvard University was the most prolific institution.
  • Research hotspots included "outbreak," "epidemic," "air pollution," "internet," "time series," and "public interest."

Conclusions:

  • This study offers a valuable overview of Google Trends application in infectious disease research, specifically for COVID-19.
  • It maps the landscape of research utilizing Google Trends to understand public interest during the pandemic.
Abstract

Keywords:
COVID-19Google Trendsbibliometric analysisinfection disease

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