Studying of Research Related to COVID-19 Vaccine in Iran and the World: A Thematic Analysis and Scientific Collaborations

Abstract

Background and Objective: The purpose of the present study is thematic analysis and scientific collaborations of research related to Covid 19 vaccine in Iran and the world based on scientific products indexed in Web of Science (WOS). Materials and Methods: The present study is a descriptive-analytical study with a scientometric approach and using the methods of content analysis and techniques of co-word analysis, hierarchical clustering, Strategic graph and social network analysis. The research population is scientific products related to Covid 19 vaccine in the world and in Iran. Data analysis was performed by HistCite, Bibexecl, Gephi and SPSS software; and the data mapping is done by VOSviewer. Results: Between 2019 and 2021, 6005 related studies were retrieved. Unites states is followed by India and China, and the United Kingdom has the most Links. Iran’s rank is 10th with 196 studies. Hierarchical clustering in global research led to the formation of 3 clusters (vaccine development strategy, medical prevention and immunotherapy) and in Iranian research led to the formation of 4 clusters (immunotherapy, diagnosis and treatment cycle, medical prevention and immunology). From scientific collaborations at the country level in world and Iranian studies, 5 clusters were formed, at the level of institutions, 17 and 10 clusters, respectively, and at the level of researchers, 10 and 8 clusters, respectively. Conclusion: Analysis and comparison of world and Iranian studies leads to a better understanding of the prevailing currents, Gaps and discourse in order to increase the quantity and quality of studies, followed by controlling and the eradication of Covid 19 in the shortest possible time.

Keywords

• coronavirus
• covid 19
• sars-cov-2
• vaccine
• vaccination
• co-word
• co-authorship
• map knowledge
• social network analysis.