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A Scientometric Analysis and Visualizaton of COVID-19 Research Literature


Affiliations
1 JRDTML, IISC Bangalore, Karnataka, India
2 Central Library, IISER Bhopal, Madhya Pradesh, India
     

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Novel Coronavirus disease (COVID-19) is the infectious disease caused by the Coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The World Health Organization learned of this new virus from the Wuhan city cases in China on December 31st, 2019. COVID-19 is a major health concern worldwide due to its quick widespread around the globe. This bibliometric study evaluated the published scientific literature to assess the evolution of knowledge on COVID-19, identify the leading research stakeholders, and analyze the conceptual areas of knowledge development in this domain. Bibliometric data on COVID-19 related literature published until August 2020 were retrieved from the Web of Science Citation Database. Major areas identified through evaluating keywords and text data including Co-authorship networks of authors, geographically collaboration of organizations and countries co-authorship networks, Bibliographic coupling of sources associated with COVID-19. The Current Status of COVID-19 research shows early development in different areas of knowledge. Global research collaboration should be at a high pace and be encouraged to strengthen evidence-based decisions to prevent the COVID-19 pandemic and aftermath.

Keywords

Scientometric Study, COVID-19, Novel Coronavirus Disease, Visual Analysis, COVID-19 Visualization, WHO.
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  • Indian Council of Medical Research | Government of India. (n.d.). Retrieved November 26, 2020, from https://main.icmr.nic.in/
  • “WHO | World Health Organization. (n.d.). Retrieved November 26, 2020, from https://www.who.int/
  • Black, A. J., Geard, N., McCaw, J. M., McVernon, J., & Ross, J. V. (2017). Characterising pandemic severity and transmissibility from data collected during first few hundred studies. Epidemics, 19(June), 61-73. doi:https://doi.org/10.1016/j.epidem.2017.01.004
  • Cancino, C., Merigó, J. M., Coronado, F., Dessouky, Y., & Dessouky, M. (2017). Forty years of computers & industrial engineering: A bibliometric analysis. Computers and Industrial Engineering, 113(November), 614-29. doi:https://doi.org/10.1016/j.cie.2017.08.033
  • Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359-77. doi:https://doi.org/10.1002/asi.20317
  • Chen, Y., Dong, Y., Zeng, Y., Yang, X., Shen, J., Zheng, L., Jiang, J., Pu, L., & Bao, Q. (2020). Mapping of study. Scientometrics, 125(1), 171-85. doi:https://doi.org/10.1007/s11192-020-03646-8
  • COVID-19 Vaccine Tracker | RAPS. (n.d.). Retrieved February 15, 2021, from https://www.raps.org/news-and-articles/news-articles/2020/3/COVID-19-vaccine-tracker
  • Desul, S., & Magapu, S. B. (2019). Global nuclear fuel research during 2000 to 2017: A scientometric analysis. Annals of Library and Information Studies (ALIS), 66(3). doi:http://op.niscair.res.in/index.php/ALIS/article/view/24635
  • Gu, D., Li, T., Wang, X., Yang, X., & Yu, Z. (2019). Visualizing the intellectual structure and evolution of electronic health and telemedicine research. International Journal of Medical Informatics, 130(October), 103947. doi:https://doi.org/10.1016/j.ijmedinf.2019.08.007
  • Guo, Y. R., Cao, Q. D., Hong, Z. S., Tan, Y. Y., Chen, S. D., Jin, H. J.,… & Yan, Y. (2020). The origin, transmission and clinical therapies on coronavirus disease 2019 (COVID-19) outbreak - An update on the status. Military Medical Research, doi:https://doi.org/10.1186/s40779-020-00240-0
  • Hak, F., Abelha, A., & Santos, M. (2020). Open science in pandemic times: A literature review. Procedia Computer Science, 177(January), 552-555. doi:https://doi.org/10.1016/j.procs.2020.10.077
  • Higaki, A., Uetani, T., Ikeda, S., & Yamaguchi, O. (2020). Co-authorship network analysis in cardiovascular research utilizing machine learning (2009-2019). International Journal of Medical Informatics, 143(November), 104274. doi:https://doi.org/10.1016/j.ijmedinf.2020.104274
  • Huded, S. M., & Balutagi, S. (2020). Measuring global scientific research on COVID-19: A bibliometric analysis. Library Philosophy and Practice (e-Journal). doi:https://digitalcommons.unl.edu/libphilprac/4208
  • Liu, Y., & Avello, M. (2020, September). Status of the research in fitness apps: A bibliometric analysis. Telematics and Informatics. doi:https://doi.org/10.1016/j.tele.2020.101506
  • Mohadab, M. E., Bouikhalene, B., & Safi, S. (2020). Bibliometric method for mapping the state of the art of scientific production in COVID-19. Chaos, Solitons and Fractals, 139(October), 110052. doi:https://doi. org/10.1016/j.chaos.2020.110052
  • Moon, G., & Pearce, J. (2020). Twenty-five years of health & place: Citation classics, internationalism and interdisciplinarity. Health and Place, 61(January). doi:https://doi.org/10.1016/j.healthplace.2019.102202
  • Phelan, A. L., Katz, R., & Gostin, L. O. (2020). The novel coronavirus originating in Wuhan, China: Challenges for Global Health Governance. JAMA - Journal of the American Medical Association. doi:https://doi. rg/10.1001/jama.2020.1097
  • Rothan, H. A., & Byrareddy, S. N. (2020). The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity. Academic Press. doi:https://doi.org/10.1016/j.jaut.2020.102433
  • Sahoo, S., & Pandey, S. (2020). Bibliometric analysis and visualization of global ocean acidification research. Science and Technology Libraries. doi:https://doi.org/10 .1080/0194262X.2020.1776194
  • Santos, B. S., Silva, I Ribeiro-Dantas, M. D. C., Alves, G., Endo, P. T., & Lima, L. (2020). COVID-19: A scholarly production dataset report for research analysis. Data in Brief, 32(October), 106178. doi:https://doi.org/10.1016/j.dib.2020.106178
  • Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., Iosifidis, C., & Agha, R. (2020). World health organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery. Elsevier Ltd. doi:https://doi.org/10.1016/j.ijsu.2020.02.034
  • Spina, S., Marrazzo, F., Migliari, M., Stucchi, R., Sforza, A., & Fumagalli, R. (2020). The response of Milan’s emergency medical system to the COVID-19 outbreak in Italy. The Lancet. Lancet Publishing Group. doi:https://doi.org/10.1016/S0140-6736(20)30493-1
  • Tambe, M. P., Parande, M. A., Tapare, V. S., Borle, P. S., Lakde, R. N., Shelke, S. C., & BJMC COVID Epidemiology Group. (2020). An epidemiological study of laboratory confirmed COVID-19 cases admitted in a tertiary care hospital of Pune, Maharashtra. Indian Journal of Public Health, 64(6), 183. doi:https://doi.org/10.4103/ijph.IJPH_522_20
  • Tanrıverdi, G., Bakır, M., & Merkert, R. (2020). What can we learn from the JATM literature for the future of aviation post COVID-19? - A bibliometric and visualization analysis. Journal of Air Transport Management, 89(October), 101916. doi:https://doi.org/10.1016/j.jairtraman.2020.101916
  • Teixeira da Silva, J. A., Tsigaris, P., & Erfanmanesh, M. (2020). Publishing volumes in major databases related to COVID-19. Scientometrics. Springer Netherlands. doi:https://doi.org/10.1007/s11192-020-03675-3
  • Eck, N. J. V., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538. doi:https://doi.org/10.1007/s11192-009-0146-3
  • Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118(September), 253-261. doi:https://doi.org/10.1016/j.jbusres.2020.06.057
  • Wang, M., Liu, P., Zhang, R., Li, Z., & Li, X. (2020). A scientometric analysis of global health research. International Journal of Environmental Research and Public Health, 17(8), 2963. doi:https://doi.org/10.3390/ijerph17082963
  • Wang, W., Ren, J., Alrashoud, M., Xia, F., Mao, M., & Tolba, A. (2020). Early-stage reciprocity in sustainable scientific collaboration. Journal of Informetrics, 14(3), 101041. doi:https://doi.org/10.1016/j.joi.2020.101041
  • Zhao, X. (2017). A Scientometric review of global BIM research: Analysis and visualization. Automation in Construction. Elsevier B.V. doi:https://doi.org/10.1016/j.autcon.2017.04.002
  • Zyoud, S. H., & Al-Jabim 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). doi:https://doi.org/10.1186/s12879-020-05293-z
  • Zyoud, S., & Zyoud, A. H. (2020). Coronavirus disease-19 in environmental fields: A bibliometric and visualization mapping analysis. Environment, Development and Sustainability, 23(6). doi:https://doi.org/10.1007/s10668-020-0 1004-5

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  • A Scientometric Analysis and Visualizaton of COVID-19 Research Literature

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Authors

Ashish Kumar Ahirwal
JRDTML, IISC Bangalore, Karnataka, India
Sandeep Kumar Pathak
Central Library, IISER Bhopal, Madhya Pradesh, India
Suresh Balutagi
JRDTML, IISC Bangalore, Karnataka, India

Abstract


Novel Coronavirus disease (COVID-19) is the infectious disease caused by the Coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The World Health Organization learned of this new virus from the Wuhan city cases in China on December 31st, 2019. COVID-19 is a major health concern worldwide due to its quick widespread around the globe. This bibliometric study evaluated the published scientific literature to assess the evolution of knowledge on COVID-19, identify the leading research stakeholders, and analyze the conceptual areas of knowledge development in this domain. Bibliometric data on COVID-19 related literature published until August 2020 were retrieved from the Web of Science Citation Database. Major areas identified through evaluating keywords and text data including Co-authorship networks of authors, geographically collaboration of organizations and countries co-authorship networks, Bibliographic coupling of sources associated with COVID-19. The Current Status of COVID-19 research shows early development in different areas of knowledge. Global research collaboration should be at a high pace and be encouraged to strengthen evidence-based decisions to prevent the COVID-19 pandemic and aftermath.

Keywords


Scientometric Study, COVID-19, Novel Coronavirus Disease, Visual Analysis, COVID-19 Visualization, WHO.

References