1. COVID-19 Research in Communication Journals: A Structural Topic Modeling-Assisted Bibliometric Analysis.
- Author
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Lei, Hong and Wang, Shunyu
- Subjects
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SERIAL publications , *DATABASES , *MEDICAL information storage & retrieval systems , *HEALTH literacy , *RESEARCH funding , *LABOR productivity , *HEALTH , *INFORMATION resources , *PROFESSIONAL peer review , *STRUCTURAL equation modeling , *DESCRIPTIVE statistics , *CITATION analysis , *BIBLIOGRAPHICAL citations , *COMMUNICATION , *MEDICAL research , *BIBLIOMETRICS , *PUBLISHING , *BIBLIOGRAPHY , *LATENT semantic analysis , *HEALTH behavior , *TECHNOLOGY , *PUBLIC health , *DISEASE susceptibility , *COVID-19 - Abstract
This article presents a bibliometric analysis of research on COVID-19 health communication. We reviewed and analyzed 1,851 articles published in 170 peer-reviewed communication journals between January 2020 and November 2022, to identify key bibliometric information and major research topics in this rapidly expanding field of research. The distribution of countries indicates that the United States is the most productive country, and researchers from Spain, China and the United Kingdom also play an important role. Health Communication is the most influential journal in terms of research productivity and impact. The analysis of highly cited references demonstrates the interdisciplinary nature of this research field. The topics generated by structural topic modeling show that scholars have responded to a variety of issues in COVID-19 communication, encompassing different levels of health communication, the effects of information dissemination, the impact on the general public as well as vulnerable populations, health preventive behaviors and communication technologies. This study aims to enhance researchers' understanding of the current state of this research field and provide insights for future studies. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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