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Review
. 2022 Oct 29;19(21):14143.
doi: 10.3390/ijerph192114143.

Modeling COVID-19 Transmission Dynamics: A Bibliometric Review

Gour Gobinda Goswami  1 , Tahmid Labib  1
Affiliations
Review

Modeling COVID-19 Transmission Dynamics: A Bibliometric Review

Gour Gobinda Goswami et al. Int J Environ Res Public Health. .

Abstract

A good amount of research has evolved just in three years in COVID-19 transmission, mortality, vaccination, and some socioeconomic studies. A few bibliometric reviews have already been performed in the literature, especially on the broad theme of COVID-19, without any particular area such as transmission, mortality, or vaccination. This paper fills this gap by conducting a bibliometric review on COVID-19 transmission as the first of its kind. The main aim of this study is to conduct a bibliometric review of the literature in the area of COVID-19 transmission dynamics. We have conducted bibliometric analysis using descriptive and network analysis methods to review the literature in this area using RStudio, Openrefine, VOSviewer, and Tableau. We reviewed 1103 articles published in 2020-2022. The result identified the top authors, top disciplines, research patterns, and hotspots and gave us clear directions for classifying research topics in this area. New research areas are rapidly emerging in this area, which needs constant observation by researchers to combat this global epidemic.

Keywords: COVID-19; COVID-19 transmission; bibliometric review; infectious diseases; public health.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
County–Specific productions (based on the Scopus database).
Figure 2
Figure 2
Country–Specific Production (Based on Corresponding Author).
Figure 3
Figure 3
Co-citation network.
Figure 4
Figure 4
Keyword Co-occurrence.
See this image and copyright information in PMC

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