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

Jafari Baghiabadi, Somayeh and Razieh, Farshid Studying of Research Related to COVID-19 Vaccine in Iran and the World: A Thematic Analysis and Scientific Collaborations. Iranian Journal of Medical Microbiology, 2021, vol. 15, n. 4, pp. 414-457. [Journal article (Paginated)]

vaccine.pdf - Published version
Available under License Creative Commons Attribution Non-commercial.

Download (2MB) | Preview

English 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.

Item type: Journal article (Paginated)
Keywords: Coronavirus, COVID-19, SARS-CoV-2, vaccine, vaccination, co-word, co-authorship, map knowledge, social network analysis
Subjects: B. Information use and sociology of information
Depositing user: razieh farshid farshid
Date deposited: 01 Feb 2022 17:26
Last modified: 01 Feb 2022 17:28


1. Gralinski EL, Menachery VD. Return of the Coronavirus: 2019-nCoV. Viruses, 2020; 12(2): 135. [DOI:10.3390/v12020135]

2. Zhao S, Musa SS, Lin Q, Ran J, Yang G & et al. Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak. J. Clin. Med, 2020; 9(2): 388. [DOI:10.3390/jcm9020388]

3. Wang M, Cao R, Zhang L & et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Res, 2020. [DOI:10.1038/s41422-020-0282-0]

4. Danesh F, GhaviDel S. Coronavirus: Scientometrics of 50 Years of global scientific productions. Iran J Med Microbiol. 2020 Mar 10; 14(1):1-6. [DOI:10.30699/ijmm.14.1.1]

5. Jabbari, L, Jafari, S. Analysis of research perspective, knowledge map and co-authorship patterns of Covid studies 19. Science Promotion. 1399; 11 (1): 123-144

6. World Health Organization. Surveillance case definitions for human infection with novel coronavirus (nCoV), interim guidance, 15 January 2020. World Health Organization; 2020.

7. Hotez PJ, Bottazzi ME, Strych U. New vaccines for the world's poorest people. Annu Rev Med. 2016; 67:405-17. [DOI:10.1146/annurev-med-051214-024241]

8. World Health Organization. Coronavirus disease 2019 (COVID-19) situation report-71. 2020. Available from: 20200331-sitrep-71- COVID 19.pdf?sfvrsn=4360e92b_8.

9. Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J. Autoimmun. 2020 May 1;109:102433 [DOI:10.1016/j.jaut.2020.102433]

10. Jafari S, Farshid R, Jabbari L. Thematic analysis of COVID 19 studies in five large continents. Scientometrics Res J. 2020;6(11):277-97.

11. Shin MD, Shukla S, Chung YH, Beiss V, Chan SK, Ortega-Rivera OA, Wirth DM, Chen A, Sack M, Pokorski JK, Steinmetz NF. COVID-19 vaccine development and a potential nanomaterial path forward. Nat. Nanotechnol. 2020 Aug; 15(8):646-55 [DOI:10.1038/s41565-020-0737-y]

12. Haber P, Amin M, Ng C, Weintraub E, McNeil MM. Reports of lower respiratory tract infection following dose 1 of RotaTeq and Rotarix vaccines to the vaccine adverse event reporting system (VAERS), 2008-2016. Hum Vaccin Immunother. 2018; 1-5. [DOI:10.1080/21645515.2018.1491509]

13. Poland GA, Kennedy RB, Ovsyannikova IG, Palacios R, Ho PL, Kalil J. Development of vaccines against Zika virus. Lancet Infect Dis. 2018; 18:e211-e9. [DOI:10.1016/S1473-3099(18)30063-X]

14. Chen WH, Chag SM, Poongavanam MV, Biter AB, Ewere EA, Rezende W, et al. Optimization of the production process and characterization of the yeast-expressed SARS-CoV recombinant receptor-binding domain (RBD219-N1), a SARS vaccine candidate. Pharm Sci. 2017 Aug 1; 106(8):1961-70. [DOI:10.1016/j.xphs.2017.04.037]

15. Zhang Y, Quan L, Xiao B, Du L. The 100 top-cited studies on vaccine: a bibliometric analysis. Hum. Vaccines Immunother. 2019 Dec 2;15(12):3024-31 [DOI:10.1080/21645515.2019.1614398]

16. Corum J, Grady D, Wee SL, Zimmer C. Coronavirus vaccine tracker. The NY Times. 2020 Aug 31;5

17. Amanpour, S. The Rapid Development and Early Success of Covid 19 Vaccines Have Raised Hopes for Accelerating the Cancer Treatment Mechanism. Archives of Razi Institute. 2021; 76 (1):1-6.

18. Noroozi Chakoli A. Note from the Editor-in-Chief: Corona Crisis, Virtual Research, and Virtual Scientometrics. Scientometrics Res J. 2019 Sep 23;5(10):1-2.

19. Makkizadeh F & Sa'adat F. Bibliometric and thematic analysis of articles in the field of infertility (2011-2015). International journal of reproductive biomedicine (Yazd, Iran) 2017; 15(11): 719-728. [DOI:10.29252/ijrm.15.11.719]

20. Yazdani K, Rahimi-Movaghar A, Nedjat S, Ghalichi L, Khalili M. A 5-year scientometric analysis of research centers affiliated to Tehran University of Medical Sciences. Med J Islam Repub Iran, 2015; 29 (1): 375-384.

21. Sohaili F, Shaban A, Khase A. Intellectual structure of knowledge in information behavior: A co-word analysis. Hum Info Interac. 2016 Mar 10;2(4):21-36.

22. Khasseh AA, Soheili F. Tracing the Landscape of Research in Scientometrics and Related Metric Areas. Iran. J. Inf. Process. Manag. 2018 Jan 1; 33(3):941-66.

23. Law J, Bauin S, Courtial J, Whittaker J. Policy and the mapping of scientific change: A co-word analysis of research into environmental acidification. Scientometrics. 1988 Sep 26; 14(3-4):251-64. [DOI:10.1007/BF02020078]

24. He Q. Knowledge discovery through co-word analysis. Libr. Trends. 1999; 48 (1): 133-159.

25. Stefano D, Fuccella V, Vitale M, Zaccarin S. The use of different data sources in the analysis of coauthorship networks and scientific performance. Soc

Networks. 2013; 35(3): 370-381. [DOI:10.1016/j.socnet.2013.04.004]

26. Galyani-Moghaddam G, Mobalegh M. Co-Authorship and Scientific Publications: A Case Study at Shahed University. The Serials Librarian. 2012; 63(3-4): 370-379. [DOI:10.1080/0361526X.2012.700783]

27. Surulinathi M, Arputha Sahava Rani N, Srinivasaragavan S, Jayasuriya T. Research output on Covid-19/Coronavirus Vaccine: A Scientometric Study. Libr. Philos. Pract .2020;

28. Surulinathi, M, Arputha Sahava Rani N, Prasanna Kumari N, Jayasuriya T. Highly Cited Works on Covid-19 Vaccine: A Scientometric Mapping of Publications. Libr. Philos. Pract. 2021.

29. Ahmad T, Murad M A, Baig, M, Hui J. Research trends in COVID-19 vaccine: a bibliometric analysis. Hum. Vaccines Immunother. 2021; 1-6.[DOI:10.1080/21645515.2021.1886806]

30. Ay M O, Erenler A K, Ay O O, Kaya H, Yuksel, M., & Kekec, Z. A scientometric analysis of COVID-19 vaccine publications. WJARR. 2021; 9(3): 138-147.[DOI: 10.30574/wjarr.2021.9.3.0093]

31. Jafari S, Farshid R, Mostafavi E. Co-authoring Patterns and Subject Trends in Iranian and World Scientific Research in the Field of Information and Knowledge Organization (2001-2020). Knowledge Studies. 2020 Apr 20; 6(22):25-54.

32. Soheili F, Khasseh A A, Koranian P. Mapping Intellectual Structure of Knowledge and Information Science in Iran based on Co-word Analysis. ... 2019; 34 (4): 1905-1938.

33. Danesh F, Nemat Allahi Z. Clustering the concepts and emerging events of knowledge organization. Library and information. 2021 [cited 2021May21]; 23 (2): 53-85.

34. Cuellar M J, Vidgen, R, Takeda H, Truex, D. Ideational influence, connectedness, and venue representation: Making an assessment of scholarly capital. J. Assoc. Inf. Syst. 2016; 17(1), 1-28. [DOI: 10.17705/1jais.00419]

35. Erfanmanesh, M A, Arshadi, H. Correspondence Network of Institutions in Iranian Information Science and Knowledge Articles. Acad. Librariansh. Info. Res; 2013; 49 (1): 79-99. [Persian]

36. Abbasi A, Hossain L, Leydesdorff L. Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks. JOI. 2012; 6(3): 403-412. [DOI: 10.1016/j.joi.2012.01.002]

37. Hansen D, Shneiderman B, Smith, M A. Analyzing social media networks with NodeXL: Insights from a connected world. Morgan Kaufmann; 2010.

38. Delavar A. Probability and Applied Statistics in Psychology and Educational Sciences. Tehran: Roshd; 2007.


Downloads per month over past year

Actions (login required)

View Item View Item