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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
Summary
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.
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