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

  • 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.

References

Centers for Disease Control and Prevention (CDC). Actualizado el 29 de junio de 2021. SARS-CoV-2 Variant Classifications and Definitions. Centers for Disease Control and Prevention. Recuperado el 19 de marzo de 2023 de https://stacks.cdc.gov/view/cdc/107682

CDC. Actualizado el 26 de abril del 2022. Clasificaciones y definiciones de las variantes del SARS-CoV-2. Recuperado el 19 de marzo de 2023 de https://espanol.cdc.gov/coronavirus/2019-ncov/variants/variant-classifications.html

Garcia-Beltran, W. F., St Denis, K. J., Hoelzemer, A., Lam, E. C., Nitido, A. D., Sheehan, M. L., Berrios, C., Ofoman, O., Chang, C. C., Hauser, B. M., Feldman, J., Roederer, A. L., Gregory, D. J., Poznansky, M. C., Schmidt, A. G., Iafrate, A. J., Naranbhai, V., y Balazs, A. B. (2022). mRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variant. Cell, 185(3), 457–466.e4. https://doi.org/10.1016/j.cell.2021.12.033

Guzmán Sánchez, M. V., y Trujillo Cancino, J. L. (2013). Los mapas bibliométricos o mapas de la ciencia: una herramienta útil para desarrollar estudios métricos de información. Biblioteca Universitaria, 16(2), 95-108.

Hoffmann, M., Arora, P., Groß, R., Seidel, A., Hörnich, B. F., Hahn, A. S., Krüger, N., Graichen, L., Hofmann-Winkler, H., Kempf, A., Winkler, M. S., Schulz, S., Jäck, H. M., Jahrsdörfer, B., Schrezenmeier, H., Müller, M., Kleger, A., Münch, J., y Pöhlmann, S. (2021). SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodies. Cell, 184(9), 2384–2393.e12. https://doi.org/10.1016/j.cell.2021.03.036

Johns Hopkins University. Actualizado el 6 de marzo de 2023. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Revisado el 6 de marzo de 2023 de https://publichealthupdate.com/jhu/

Kannan, S., Shaik Syed Ali, P., y Sheeza, A. (2021). Omicron (B.1.1.529) - variant of concern - molecular profile and epidemiology: a mini review. European review for medical and pharmacological sciences, 25(24), 8019–8022. https://doi.org/10.26355/eurrev_202112_27653

Lupala, C. S., Ye, Y., Chen, H., Su, X. D., y Liu, H. (2022). Mutations on RBD of SARS-CoV-2 Omicron variant result in stronger binding to human ACE2 receptor. Biochemical and biophysical research communications, 590, 34–41. https://doi.org/10.1016/j.bbrc.2021.12.079

Plante, J. A., Liu, Y., Liu, J., Xia, H., Johnson, B. A., Lokugamage, K. G., Zhang, X., Muruato, A. E., Zou, J., Fontes-Garfias, C. R., Mirchandani, D., Scharton, D., Bilello, J. P., Ku, Z., An, Z., Kalveram, B., Freiberg, A. N., Menachery, V. D., Xie, X., Plante, K. S., … Shi, P. Y. (2021). Spike mutation D614G alters SARS-CoV-2 fitness. Nature, 592(7852), 116–121. https://doi.org/10.1038/s41586-020-2895-3

Sampieri Cabrera, R., y Trejo Rodríguez, M. A. (2015). Mapas bibliométricos como herramienta en la organización y análisis en ciencia. REB, 34(4), 93-97.

Sun, C., Xie, C., Bu, G. L., Zhong, L. Y., y Zeng, M. S. (2022). Molecular characteristics, immune evasion, and impact of SARS-CoV-2 variants. Signal transduction and targeted therapy, 7(1), 202. https://doi.org/10.1038/s41392-022-01039-2

Tao, K., Tzou, P. L., Nouhin, J., Gupta, R. K., de Oliveira, T., Kosakovsky Pond, S. L., Fera, D., y Shafer, R. W. (2021). The biological and clinical significance of emerging SARS-CoV-2 variants. Nature reviews. Genetics, 22(12), 757–773. https://doi.org/10.1038/s41576-021-00408-x

van Eck, N. J., y Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84, 523–538. https://doi.org/10.1007/s11192-009-0146-3

World Health Organization (WHO). (‎2020a)‎. Novel Coronavirus (‎2019-nCoV)‎: situation report, 1. World Health Organization. https://apps.who.int/iris/handle/10665/330760

WHO. (‎2020b)‎. Coronavirus disease 2019 (‎COVID-19)‎: situation report, 51. World Health Organization. https://apps.who.int/iris/handle/10665/331475

WHO. (2022). "Tracking SARS-CoV-2 variants". www.who.int. Revisado el 12 de noviembre de 2022.

Wu, M., Zhang, Y., Grosser, M., Tipper, S., Venter, D., Lin, H., y Lu, J. (2021). Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics. Frontiers in research metrics and analytics, 6, 683212. https://doi.org/10.3389/frma.2021.683212

Xia, Y., Yao, R. Q., Zhao, P. Y., Tao, Z. B., Zheng, L. Y., Zhou, H. T., Yao, Y. M., y Song, X. M. (2022). Publication trends of research on COVID-19 and host immune response: A bibliometric analysis. Frontiers in public health, 10, 939053. https://doi.org/10.3389/fpubh.2022.939053

Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., Yang, L., Zhu, C., y Chen, E. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of translational medicine, 8(13), 816. https://doi.org/10.21037/atm-20-4235

Zhang, Q., Li, J., y Weng, L. (2022a). A bibliometric analysis of COVID-19 publications in neurology by using the visual mapping method. Frontiers in public health, 10, 937008. https://doi.org/10.3389/fpubh.2022.937008

Zhang, Y., Feng, M., He, Y., Liu, F., y Ma, R. (2022b). A bibliometric analysis of the 100 most cited articles describing SARS-CoV-2 variants. Frontiers in public health, 10, 966847. https://doi.org/10.3389/fpubh.2022.966847

Zyoud, S. H., y Al-Jabi, S. W. (2020). Mapping the situation of research on coronavirus disease-19 (COVID-19): a preliminary bibliometric analysis during the early stage of the outbreak. BMC infectious diseases, 20(1), 561. https://doi.org/10.1186/s12879-020-05293-z

Zyoud, S. H., Al-Jabi, S. W., Shahwan, M. J., y Jairoun, A. A. (2022). Global research production pertaining to gastrointestinal involvement in COVID-19: A bibliometric and visualised study. World journal of gastrointestinal surgery, 14(5), 494–505. https://doi.org/10.4240/wjgs.v14.i5.494

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

Copyright (c) 2023 Omar A. Dupuy Loo, Lorena I. González P. , Héctar De La Rosa, Melany Culiolo

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