Open Access
Subscription Access
Open Access
Subscription Access
A Scientometric Analysis and Visualizaton of COVID-19 Research Literature
Subscribe/Renew Journal
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.
Subscription
Login to verify subscription
User
Font Size
Information
- 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
Abstract Views: 243
PDF Views: 0