ACCEPTANCE AND ANALYSIS OF THE INFLUENCE OF SARS-COV-2 VARIANTS ON BIOMEDICAL PRODUCTIVITY USING BIBLIOMETRIC NETWORK MAPS

Authors

  • Omar A. Dupuy Loo Institute for Research in Biotechnology and Biomedical Sciences. Medicine School. School of Medical Technology. School of Dentistry. Faculty of Health Sciences. Latina University of Panama. https://orcid.org/0000-0002-3880-339X
  • Lorena I. González P. Institute for Research in Biotechnology and Biomedical Sciences. Degree Program in Biotechnology. Medicine School. School of Medical Technology. School of Dentistry. Faculty of Health Sciences. Latina University of Panama. Faculty of Medical and Health Sciences. American University. Faculty of Health Sciences. Interamerican University of Panama.
  • Héctar De La Rosa School of Medicine Latina University of Panama
  • Melany Culiolo School of Medicine Latina University of Panama

Keywords:

bibliometrics, network maps, bibliographic metadata, MEDLINE/PubMed, SARS-CoV-2 variants

Abstract

The COVID-19 pandemic directly and indirectly impacts all activities of society. The objective of this study is to carry out an analysis of bibliometric maps of the influence of SARS-CoV-2 variants on scientific productivity in the biomedical field. Methodology: A search of the documents published on the SARS-CoV-2 variants was carried out in the MEDLINE/PubMed database from January 1, 2019 to June 30, 2022. The visualizations of the bibliometric network maps were performed with the VOSviewer program. The occurrence, number of links, total link strength and clusters generated by the program were reviewed. The results show that the number of documents found on the omicron and delta variants is 1339 and 1741, respectively. The publications on the omicron variant present 156 occurrences, 81 links, and a total link strength of 456. Delta variant articles excel in their conglomerate with 258 occurrences, 124 links, and a total link strength of 881. In 51 articles the alpha variant is highlighted, which constitute 35 links and a total link strength of 175. Nineteen author names appeared in 15 or more documents related to SARS-CoV-2 variants and 13 organization names appeared in 6 or more such documents. In conclusion, the analysis of bibliometric network maps reflects the influence of SARS-CoV-2 variants on scientific productivity in the biomedical field and can contribute to the description of the evolution of public health problems such as the COVID-19 pandemic.

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Published

2023-01-30

How to Cite

Dupuy Loo, O. A. ., González P. , L. I. ., De La Rosa, H., & Culiolo, M. (2023). ACCEPTANCE AND ANALYSIS OF THE INFLUENCE OF SARS-COV-2 VARIANTS ON BIOMEDICAL PRODUCTIVITY USING BIBLIOMETRIC NETWORK MAPS. Scientific Behavior, 6(1), 9–29. Retrieved from https://revistas.ulatina.edu.pa/index.php/conductacientifica/article/view/274

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Vol. 6 No. 1 (2023): Conducta Científica/ Scientific Behavior. Revista de Investigación en Ciencias de la Salud / Journal of Research in Health Sciences

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