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Review
. 2020 Jun 8;17(11):4095.
doi: 10.3390/ijerph17114095.

Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature

Bach Xuan Tran  1   2 , Giang Hai Ha  3   4 , Long Hoang Nguyen  5 , Giang Thu Vu  6 , Men Thi Hoang  3   4 , Huong Thi Le  1 , Carl A Latkin  2 , Cyrus S H Ho  7 , Roger C M Ho  8   9
Affiliations
Review

Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature

Bach Xuan Tran et al. Int J Environ Res Public Health. .

Abstract

Novel coronavirus disease 19 (COVID-19) is a global threat to millions of lives. Enormous efforts in knowledge production have been made in the last few months, requiring a comprehensive analysis to examine the research gaps and to help guide an agenda for further studies. This study aims to explore the current research foci and their country variations regarding levels of income and COVID-19 transmission features. This textual analysis of 5780 publications extracted from the Web of Science, Medline, and Scopus databases was performed to explore the current research foci and propose further research agenda. The Latent Dirichlet allocation was used for topic modeling. Regression analysis was conducted to examine country variations in the research foci. Results indicate that publications are mainly contributed by the United States, China, and European countries. Guidelines for emergency care and surgical, viral pathogenesis, and global responses in the COVID-19 pandemic are the most common topics. There is variation in the research approaches to mitigate COVID-19 problems in countries with different income and transmission levels. Findings highlighted the need for global research collaborations among high- and low/middle-income countries in the different stages of pandemic prevention and control.

Keywords: COVID-19; content analysis; scientometrics; text mining.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Selection process.
Figure 2
Figure 2
Number of publications per country
Figure 3
Figure 3
Co-occurrence analysis of keywords.
Figure 4
Figure 4
Co-occurrence analysis of the most frequent terms.
Figure 5
Figure 5
Dendrogram of research areas in WOS database.
See this image and copyright information in PMC

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