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Modeling COVID-19 Transmission Dynamics: A Bibliometric Review
Gour Gobinda Goswami1, Tahmid Labib1
1Department of Economics, North South University, Dhaka 1229, Bangladesh.
International Journal of Environmental Research and Public Health
|November 11, 2022
Summary
This bibliometric review is the first to focus on COVID-19 transmission dynamics. It analyzes 1103 articles from 2020-2022, identifying key research trends and future directions for combating the epidemic.
Area of Science:
- Epidemiology
- Infectious Disease Dynamics
- Public Health
Background:
- Extensive research on COVID-19 has emerged rapidly in transmission, mortality, and vaccination.
- Previous bibliometric reviews on COVID-19 lack specificity, often covering broad themes without focusing on particular areas.
- This study addresses the gap by concentrating specifically on COVID-19 transmission dynamics.
Purpose of the Study:
- To conduct the first bibliometric review focused exclusively on COVID-19 transmission dynamics.
- To analyze the existing literature on the spread of the virus.
- To identify emerging research patterns and future research directions in COVID-19 transmission.
Main Methods:
- Bibliometric analysis utilizing descriptive and network analysis techniques.
- Literature review of 1103 articles published between 2020 and 2022.
- Utilized software including RStudio, Openrefine, VOSviewer, and Tableau for analysis.
Main Results:
- Identified leading authors, prominent disciplines, and established research patterns in COVID-19 transmission.
- Highlighted key research hotspots and emerging areas within the field.
- Provided clear directions for the classification of research topics related to transmission.
Conclusions:
- The study offers a comprehensive overview of the research landscape in COVID-19 transmission.
- Emerging research areas require continuous monitoring by scientists to effectively manage the global epidemic.
- This work serves as a foundational resource for future research on viral transmission dynamics.
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