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Modeling COVID-19 Transmission Dynamics: A Bibliometric Review

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  • Gour Gobinda Goswami

    (Department of Economics, North South University, Dhaka 1229, Bangladesh)

  • Tahmid Labib

    (Department of Economics, North South University, Dhaka 1229, Bangladesh)

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.

Suggested Citation

  • Gour Gobinda Goswami & Tahmid Labib, 2022. "Modeling COVID-19 Transmission Dynamics: A Bibliometric Review," IJERPH, MDPI, vol. 19(21), pages 1-19, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14143-:d:957251
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    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Aria, Massimo & Cuccurullo, Corrado, 2017. "bibliometrix: An R-tool for comprehensive science mapping analysis," Journal of Informetrics, Elsevier, vol. 11(4), pages 959-975.
    3. Alba Viana-Lora & Marta Gemma Nel-lo-Andreu, 2022. "Bibliometric analysis of trends in COVID-19 and tourism," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    5. Hongxia Jin & Lu Lu & Haojun Fan, 2022. "Global Trends and Research Hotspots in Long COVID: A Bibliometric Analysis," IJERPH, MDPI, vol. 19(6), pages 1-14, March.
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    Cited by:

    1. Hao Tan & Yuyue Hao, 2022. "Mapping the Global Evolution and Research Directions of Information Seeking, Sharing and Communication in Disasters: A Bibliometric Study," IJERPH, MDPI, vol. 19(22), pages 1-20, November.
    2. Nur Syuhada Jasni & Siti Nurhazwani Kamarudin, 2024. "Trends and Insights in Sustainability Accounting in the Public Sector: Unveiling the Research Landscape," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 163-171, July.

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