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Global Trends of the Researches on COVID-19: A Bibliometric Analysis via VOSviewer

Yıl 2020, Cilt: 9 Sayı: 2, 201 - 216, 30.12.2020

Mustafa Kaya Elif Erbay

Öz

Introduction: Coronavirus (2019-nCoV) was detected in Wuhan, China, and has spread rapidly all over the world. This rapid spread led to an increase in the number of studies on the subject. Aim: This study aims to make a retrospective analysis of the publications on coronavirus infection emerging in Wuhan, China on December 8, 2019, spreading to the world and being announced as a pandemic. Method: Web of Science database was scanned using the keywords “Coronavirus, COVID-19, 2019 novel coronavirus disease, 2019 novel coronavirus infection, 2019-nCoV disease, 2019-nCoV infection, coronavirus disease 2019, coronavirus disease-19” on the studies published between January 1 and April 30, 2020. Identification and analysis of the data were based on criteria such as countries, publications, authors, journals, institutions, cited references, and some relationships between these variables. Descriptive features of publications were analyzed in Microsoft Excel. Analysis and visualization of some selected criteria were carried out through the VOSviewer and the ArcGIS. Findings: 1782 papers that were published between January 1 and April 30, 2020, were included in the study. The present study highlighted that there is strong author collaboration around the world and also a great number of funding agencies contributing to the fight against the pandemic. Conclusion: Through the bibliographic matching method used to form clusters of publications, the main focus and major topics in these publications were highlighted. This study once again emphasized that the researches on COVID-19 are a really important key to ending this pandemic.

Anahtar Kelimeler

COVID-19 Coronavirus SARS-COV-2 Bibliometric analysis

Kaynakça

  • Andrés, Ana. 2009. Measuring academic research: How to undertake a bibliometric study: Elsevier.
  • Ataguba, J. E. 2020. COVID-19 Pandemic, a War to be Won: Understanding its Economic Implications for Africa. Appl Health Econ Health Pol; 18(3):325-328. doi: 10.1007/s40258-020-00580-x.
  • Buonomo, B. 2020. Effects of information-dependent vaccination behavior on coronavirus outbreak: insights from a SIRI model. Ricerche Di Matematica. doi: 10.1007/s11587-020-00506-8.
  • Cascella, Marco, Michael Rajnik, Arturo Cuomo, Scott C Dulebohn, and Raffaela Di Napoli. 2020. Features, evaluation and treatment coronavirus (COVID-19). In Statpearls [internet]. StatPearls Publishing.
  • Chahrour, M., S. Assi, M. Bejjani, A. A. Nasrallah, H. Salhab, M. Y. Fares, and H. H. Khachfe. 2020. A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output. Cureus; 12(3). doi: 10.7759/cureus.7357.
  • Chen, N. S., M. Zhou, X. Dong, J. M. Qu, F. Y. Gong, Y. Han, Y. Qiu, J. L. Wang, Y. Liu, Y. Wei, J. A. Xia, T. Yu, X. X. Zhang, and L. Zhang. 2020. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet; 395(10223):507-513. doi: 10.1016/s0140-6736(20)30211-7.
  • Chen, Y., J. Cheng, Y. Jiang, and K. J. Liu. 2020. A time delay dynamic system with external source for the local outbreak of 2019-nCoV. Appl Anal; doi: 10.1080/00036811.2020.1732357.
  • Daim, Tugrul, Paul R Newman, Hithem Sughi, and Eyad Bakhsh. 2013. Technology selection for solar power generation in the middle east: case of saudi arabia. In Handbook of Research on Solar Energy Systems and Technologies 480-505. IGI Global.
  • Duan, L., and G. Zhu. 2020. Psychological interventions for people affected by the COVID-19 epidemic. Lancet Psychiatry; 7 (4):300-302. doi: 10.1016/s2215-0366(20)30073-0.
  • Fong, S. J., G. Li, N. Dey, R. G. Crespo, and E. Herrera-Viedma. 2020. Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak. Int. J. Interact. Multimed. Artif. Intell ;6(1):132-140. doi: 10.9781/ijimai.2020.02.002.
  • Guo, Yi-Ming, Zhen-Ling Huang, Ji Guo, Hua Li, Xing-Rong Guo, and Mpeoane Judith Nkeli. 2019. Bibliometric analysis on smart cities research. Sustainability; 11(13):3606.
  • Hoogenboom, Barbara J, and Robert C Manske. 2012. How to write a scientific article. Int. J. Sports Phys. Ther ; 7(5):512.
  • Huang, C. L., Y. M. Wang, X. W. Li, L. L. Ren, J. P. Zhao, Y. Hu, L. Zhang, G. H. Fan, J. Y. Xu, X. Y. Gu, Z. S. Cheng, T. Yu, J. A. Xia, Y. Wei, W. J. Wu, X. L. Xie, W. Yin, H. Li, M. Liu, Y. Xiao, H. Gao, L. Guo, J. G. Xie, G. F. Wang, R. M. Jiang, Z. C. Gao, Q. Jin, J. W. Wang, and B. Cao. 2020. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet; 395(10223):497-506. doi: 10.1016/s0140-6736(20)30183-5.
  • Ivanov, D. 2020. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transp. Res. E Logist. Transp. Rev ; 136. doi: 10.1016/j.tre.2020.101922.
  • Jiang, X. G., M. Coffee, A. Bari, J. Z. Wang, X. Y. Jiang, J. P. Huang, J. C. Shi, J. Y. Dai, J. Cai, T. X. Zhang, Z. X. Wu, G. Q. He, and Y. T. Huang. 2020. Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity. CMC-Comput Mater Con; 63(1):537-551. doi: 10.32604/cmc.2020.010691.
  • Jing, Su, Zhai Qinghua, and Hans Landström. 2015. Entrepreneurship across regions: Internationalization and/or contextualization? In Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship, 372-392. IGI Global.
  • Kang, L. J., Y. Li, S. H. Hu, M. Chen, C. Yang, B. X. Yang, Y. Wang, J. B. Hu, J. B. Lai, X. C. Ma, J. Chen, L. L. Guan, G. H. Wang, H. Ma, and Z. C. Liu. 2020. The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. Lancet Psychiatry; 7(3):E14-E14. doi: 10.1016/s2215-0366(20)30047-x.
  • Lai, C. C., T. P. Shih, W. C. Ko, H. J. Tang, and P. R. Hsueh. 2020. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int. J. Antimicrob. Agents; 55(3). doi: 10.1016/j.ijantimicag.2020.105924.
  • Lou, Jing, Si-Jia Tian, Sheg-Mei Niu, Xu-Qin Kang, Hui-Xin Lian, Lu-Xi Zhang, and Jin-Jun Zhang. 2020. Coronavirus disease 2019: a bibliometric analysis and review. Eur Rev Med Pharmacol Sci; 24(6):3411-21.
  • Mao, K., H. Zhang, and Z. G. Yang. 2020. Can a Paper-Based Device Trace COVID-19 Sources with Wastewater-Based Epidemiology? Environ. Sci. Technol ; 54(7):3733-3735. doi: 10.1021/acs.est.0c01174.
  • Moorhouse, B. L. 2020. Adaptations to a face-to-face initial teacher education course 'forced' online due to the COVID-19 pandemic. J Educ Teach;. doi: 10.1080/02607476.2020.1755205.
  • Nasab, Fateme Rafiei. 2020. Bibliometric Analysis of Global Scientific Research on SARSCoV-2 (COVID-19). medRxiv. Nature Medicine. 2020. Communication, collaboration and cooperation can stop the 2019 coronavirus. Nat Med ; 26(2):151. doi:10.1038/s41591-020-0775-x
  • Ortiz, P. A. 2020. Teaching in the time of COVID-19. Biochemistry and Molecular Biology Education 48(3):201-201. doi: 10.1002/bmb.21348.
  • Qu, G. B., X. D. Li, L. G. Hu, and G. B. Jiang. 2020. An Imperative Need for Research on the Role of Environmental Factors in Transmission of Novel Coronavirus (COVID-19). Environ. Sci. Technol ; 54(7):3730-3732. doi: 10.1021/acs.est.0c01102.
  • Ram, Shri. 2020. Coronavirus Research Trends: A 50–Year Bibliometric Assessment. Sci Tech Libr ; 39(2):210-226.
  • Small, Henry. 1973. Co‐citation in the scientific literature: A new measure of the relationship between two documents. J Am Soc Inform Sci; 24(4):265-269.
  • Tang, B., X. Wang, Q. Li, N. L. Bragazzi, S. Y. Tang, Y. N. Xiao, and J. H. Wu. 2020. Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions. J. Clin. Med ;9(2). doi: 10.3390/jcm9020462.
  • Thomas, Sik To Lai, and Cho Yu Wai. 2010. The lessons of SARS in Hong Kong. Clinical medicine 10 (1):50.
  • Van Eck, Nees Jan, and Ludo Waltman. 2014. Visualizing bibliometric networks. In Measuring scholarly impact, 285-320. Springer.
  • Van Eck, NJ, and L Waltman. 2018. Manual for VOSviewer version 1.6. 8. CWTS Meaningful Metrics. Universiteit Leiden.
  • Wang, C. Y., Z. Cheng, X. G. Yue, and M. McAleer. 2020. Risk Management of COVID-19 by Universities in China. Journal of Risk and Financial Management;13(2). doi: 10.3390/jrfm13020036.
  • Web of Science. 2019. Web of Science: h-index information. Available online: https://support.clarivate.com/ScientificandAcademicResearch/s/article/Web-of-Science-h-index-information?language=en_US (accessed on 13 May 2020).
  • Web of Science Core Collection. 2020. Explore Web of Science Core Collection indices. Available online: https://clarivate.com/webofsciencegroup/solutions/web-of-science-core-collection/ (accessed on 12 May 2020).
  • WHO. 2020a. Coronavirus. Available online: https://www.who.int/health-topics/coronavirus#tab=tab_1 (accessed on 15 March 2020).
  • WHO. 2020b. Coronavirus disease 2019 (COVID-19) Situation Report – 101. Available online: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200430-sitrep-101-covid-19.pdf (accessed on 15 March 2020).
  • Wolski, Marcin, and Anna Gomolińska. 2020. Data meaning and knowledge discovery: Semantical aspects of information systems. Int J Approx Reason ;119:40-57.
  • Xiang, Y. T., Y. Yang, W. Li, L. Zhang, Q. E. Zhang, T. Cheung, and C. H. Ng. 2020. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry ;7(3):228-229. doi: 10.1016/s2215-0366(20)30046-8.
  • Xing, Dan, Yu Zhao, Shengjie Dong, and Jianhao Lin. 2018. Global research trends in stem cells for osteoarthritis: a bibliometric and visualized study. Int J Rheum Dis ;21(7):1372-1384.
  • Yue, X. G., X. F. Shao, R. Y. M. Li, M. J. C. Crabbe, L. L. Mi, S. Y. Hu, J. S. Baker, and G. Liang. 2020. Risk Management Analysis for Novel Coronavirus in Wuhan, China. Journal of Risk and Financial Management ;13(2). doi: 10.3390/jrfm13020022.
  • Zhang, W. N., Y. X. Wang, L. L. Yang, and C. Y. Wang. 2020. Suspending Classes Without Stopping Learning: China's Education Emergency Management Policy in the COVID-19 Outbreak. Journal of Risk and Financial Management ;13(3). doi: 10.3390/jrfm13030055.
  • Zhou, Yi, and Liyu Chen. 2020. Twenty-Year Span of Global Coronavirus Research Trends: A Bibliometric Analysis. Int. J. Environ. Res. Public Health ;17(9):3082.
  • Zhu, N., D. Y. Zhang, W. L. Wang, X. W. Li, B. Yang, J. D. Song, X. Zhao, B. Y. Huang, W. F. Shi, R. J. Lu, P. H. Niu, F. X. Zhan, X. J. Ma, D. Y. Wang, W. B. Xu, G. Z. Wu, G. G. F. Gao, W. J. Tan, and Coronavirus China Novel. 2020. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N. Engl. J. Med ;382(8):727-733. doi: 10.1056/NEJMoa2001017.

Global Trends of the Researches on COVID-19: A Bibliometric Analysis via VOSviewer

Yıl 2020, Cilt: 9 Sayı: 2, 201 - 216, 30.12.2020

Mustafa Kaya Elif Erbay

Öz

Giriş: Çin'in Wuhan kentinde tespit edilen Coronavirüs (2019-nCoV) tüm dünyaya hızla yayıldı. Bu hızlı yayılım konu hakkında yapılan çalışmaların sayısının da artmasına yol açtı. Amaç: Bu çalışmada, 8 Aralık 2019 tarihinde Çin'in Wuhan kentinde ortaya çıkan, dünyaya yayılan ve pandemi olarak ilan edilen koronavirüs enfeksiyonu ile ilgili yayınların geriye dönük bir analizini yapmayı amaçlamaktadır. Yöntem: “Coronavirus, COVID-19, 2019 novel coronavirus disease, 2019 novel coronavirus infection, 2019-nCoV disease, 2019-nCoV infection, coronavirus disease 2019, coronavirus disease-19” anahtar kelimeleri kullanılarak Web of Science veri tabanında 1 Ocak ve 30 Nisan 2020 tarihleri arasında yayınlanan çalışmalar taranmıştır. Verilerin tanımlanması ve analizi ülkeler, yayınlar, yazarlar, dergiler, kurumlar, alıntı yapılan referanslar ve bu değişkenler arasındaki bazı ilişkiler gibi kriterlere göre yapılmıştır. Yayınlara dair tanımlayıcı özellikler Microsoft Excel kullanılarak analiz edilmiştir. Seçilen bazı kriterlerin analizi ve görselleştirilmesi VOSviewer ve ArcGIS aracılığıyla gerçekleştirilmiştir. Bulgular: Çalışmaya, belirlenen tarihler arasında yayınlanan 1782 makale dahil edilmiştir. Çalışma, dünya çapında güçlü bir yazar iş birliği olduğunu ve pandemi ile mücadeleye katkıda bulunan çok sayıda finansman kuruluşunun olduğunu göstermiştir. Sonuç: Yayın kümelerini oluşturmak için kullanılan bibliyografik eşleştirme yöntemi aracılığıyla, bu yayınlarda yer alan temel odak ve ana konular vurgulanmıştır. Bu çalışma COVID-19 ile ilgili araştırmaların pandemiyi sona erdirmede önemli bir anahtar olduğunu vurgulamıştır.

Anahtar Kelimeler

COVID-19 Coronavirus SARS-COV-2 Bibliometric analysis

Kaynakça

  • Andrés, Ana. 2009. Measuring academic research: How to undertake a bibliometric study: Elsevier.
  • Ataguba, J. E. 2020. COVID-19 Pandemic, a War to be Won: Understanding its Economic Implications for Africa. Appl Health Econ Health Pol; 18(3):325-328. doi: 10.1007/s40258-020-00580-x.
  • Buonomo, B. 2020. Effects of information-dependent vaccination behavior on coronavirus outbreak: insights from a SIRI model. Ricerche Di Matematica. doi: 10.1007/s11587-020-00506-8.
  • Cascella, Marco, Michael Rajnik, Arturo Cuomo, Scott C Dulebohn, and Raffaela Di Napoli. 2020. Features, evaluation and treatment coronavirus (COVID-19). In Statpearls [internet]. StatPearls Publishing.
  • Chahrour, M., S. Assi, M. Bejjani, A. A. Nasrallah, H. Salhab, M. Y. Fares, and H. H. Khachfe. 2020. A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output. Cureus; 12(3). doi: 10.7759/cureus.7357.
  • Chen, N. S., M. Zhou, X. Dong, J. M. Qu, F. Y. Gong, Y. Han, Y. Qiu, J. L. Wang, Y. Liu, Y. Wei, J. A. Xia, T. Yu, X. X. Zhang, and L. Zhang. 2020. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet; 395(10223):507-513. doi: 10.1016/s0140-6736(20)30211-7.
  • Chen, Y., J. Cheng, Y. Jiang, and K. J. Liu. 2020. A time delay dynamic system with external source for the local outbreak of 2019-nCoV. Appl Anal; doi: 10.1080/00036811.2020.1732357.
  • Daim, Tugrul, Paul R Newman, Hithem Sughi, and Eyad Bakhsh. 2013. Technology selection for solar power generation in the middle east: case of saudi arabia. In Handbook of Research on Solar Energy Systems and Technologies 480-505. IGI Global.
  • Duan, L., and G. Zhu. 2020. Psychological interventions for people affected by the COVID-19 epidemic. Lancet Psychiatry; 7 (4):300-302. doi: 10.1016/s2215-0366(20)30073-0.
  • Fong, S. J., G. Li, N. Dey, R. G. Crespo, and E. Herrera-Viedma. 2020. Finding an Accurate Early Forecasting Model from Small Dataset: A Case of 2019-nCoV Novel Coronavirus Outbreak. Int. J. Interact. Multimed. Artif. Intell ;6(1):132-140. doi: 10.9781/ijimai.2020.02.002.
  • Guo, Yi-Ming, Zhen-Ling Huang, Ji Guo, Hua Li, Xing-Rong Guo, and Mpeoane Judith Nkeli. 2019. Bibliometric analysis on smart cities research. Sustainability; 11(13):3606.
  • Hoogenboom, Barbara J, and Robert C Manske. 2012. How to write a scientific article. Int. J. Sports Phys. Ther ; 7(5):512.
  • Huang, C. L., Y. M. Wang, X. W. Li, L. L. Ren, J. P. Zhao, Y. Hu, L. Zhang, G. H. Fan, J. Y. Xu, X. Y. Gu, Z. S. Cheng, T. Yu, J. A. Xia, Y. Wei, W. J. Wu, X. L. Xie, W. Yin, H. Li, M. Liu, Y. Xiao, H. Gao, L. Guo, J. G. Xie, G. F. Wang, R. M. Jiang, Z. C. Gao, Q. Jin, J. W. Wang, and B. Cao. 2020. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet; 395(10223):497-506. doi: 10.1016/s0140-6736(20)30183-5.
  • Ivanov, D. 2020. Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transp. Res. E Logist. Transp. Rev ; 136. doi: 10.1016/j.tre.2020.101922.
  • Jiang, X. G., M. Coffee, A. Bari, J. Z. Wang, X. Y. Jiang, J. P. Huang, J. C. Shi, J. Y. Dai, J. Cai, T. X. Zhang, Z. X. Wu, G. Q. He, and Y. T. Huang. 2020. Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity. CMC-Comput Mater Con; 63(1):537-551. doi: 10.32604/cmc.2020.010691.
  • Jing, Su, Zhai Qinghua, and Hans Landström. 2015. Entrepreneurship across regions: Internationalization and/or contextualization? In Handbook of Research on Global Competitive Advantage through Innovation and Entrepreneurship, 372-392. IGI Global.
  • Kang, L. J., Y. Li, S. H. Hu, M. Chen, C. Yang, B. X. Yang, Y. Wang, J. B. Hu, J. B. Lai, X. C. Ma, J. Chen, L. L. Guan, G. H. Wang, H. Ma, and Z. C. Liu. 2020. The mental health of medical workers in Wuhan, China dealing with the 2019 novel coronavirus. Lancet Psychiatry; 7(3):E14-E14. doi: 10.1016/s2215-0366(20)30047-x.
  • Lai, C. C., T. P. Shih, W. C. Ko, H. J. Tang, and P. R. Hsueh. 2020. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges. Int. J. Antimicrob. Agents; 55(3). doi: 10.1016/j.ijantimicag.2020.105924.
  • Lou, Jing, Si-Jia Tian, Sheg-Mei Niu, Xu-Qin Kang, Hui-Xin Lian, Lu-Xi Zhang, and Jin-Jun Zhang. 2020. Coronavirus disease 2019: a bibliometric analysis and review. Eur Rev Med Pharmacol Sci; 24(6):3411-21.
  • Mao, K., H. Zhang, and Z. G. Yang. 2020. Can a Paper-Based Device Trace COVID-19 Sources with Wastewater-Based Epidemiology? Environ. Sci. Technol ; 54(7):3733-3735. doi: 10.1021/acs.est.0c01174.
  • Moorhouse, B. L. 2020. Adaptations to a face-to-face initial teacher education course 'forced' online due to the COVID-19 pandemic. J Educ Teach;. doi: 10.1080/02607476.2020.1755205.
  • Nasab, Fateme Rafiei. 2020. Bibliometric Analysis of Global Scientific Research on SARSCoV-2 (COVID-19). medRxiv. Nature Medicine. 2020. Communication, collaboration and cooperation can stop the 2019 coronavirus. Nat Med ; 26(2):151. doi:10.1038/s41591-020-0775-x
  • Ortiz, P. A. 2020. Teaching in the time of COVID-19. Biochemistry and Molecular Biology Education 48(3):201-201. doi: 10.1002/bmb.21348.
  • Qu, G. B., X. D. Li, L. G. Hu, and G. B. Jiang. 2020. An Imperative Need for Research on the Role of Environmental Factors in Transmission of Novel Coronavirus (COVID-19). Environ. Sci. Technol ; 54(7):3730-3732. doi: 10.1021/acs.est.0c01102.
  • Ram, Shri. 2020. Coronavirus Research Trends: A 50–Year Bibliometric Assessment. Sci Tech Libr ; 39(2):210-226.
  • Small, Henry. 1973. Co‐citation in the scientific literature: A new measure of the relationship between two documents. J Am Soc Inform Sci; 24(4):265-269.
  • Tang, B., X. Wang, Q. Li, N. L. Bragazzi, S. Y. Tang, Y. N. Xiao, and J. H. Wu. 2020. Estimation of the Transmission Risk of the 2019-nCoV and Its Implication for Public Health Interventions. J. Clin. Med ;9(2). doi: 10.3390/jcm9020462.
  • Thomas, Sik To Lai, and Cho Yu Wai. 2010. The lessons of SARS in Hong Kong. Clinical medicine 10 (1):50.
  • Van Eck, Nees Jan, and Ludo Waltman. 2014. Visualizing bibliometric networks. In Measuring scholarly impact, 285-320. Springer.
  • Van Eck, NJ, and L Waltman. 2018. Manual for VOSviewer version 1.6. 8. CWTS Meaningful Metrics. Universiteit Leiden.
  • Wang, C. Y., Z. Cheng, X. G. Yue, and M. McAleer. 2020. Risk Management of COVID-19 by Universities in China. Journal of Risk and Financial Management;13(2). doi: 10.3390/jrfm13020036.
  • Web of Science. 2019. Web of Science: h-index information. Available online: https://support.clarivate.com/ScientificandAcademicResearch/s/article/Web-of-Science-h-index-information?language=en_US (accessed on 13 May 2020).
  • Web of Science Core Collection. 2020. Explore Web of Science Core Collection indices. Available online: https://clarivate.com/webofsciencegroup/solutions/web-of-science-core-collection/ (accessed on 12 May 2020).
  • WHO. 2020a. Coronavirus. Available online: https://www.who.int/health-topics/coronavirus#tab=tab_1 (accessed on 15 March 2020).
  • WHO. 2020b. Coronavirus disease 2019 (COVID-19) Situation Report – 101. Available online: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200430-sitrep-101-covid-19.pdf (accessed on 15 March 2020).
  • Wolski, Marcin, and Anna Gomolińska. 2020. Data meaning and knowledge discovery: Semantical aspects of information systems. Int J Approx Reason ;119:40-57.
  • Xiang, Y. T., Y. Yang, W. Li, L. Zhang, Q. E. Zhang, T. Cheung, and C. H. Ng. 2020. Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed. Lancet Psychiatry ;7(3):228-229. doi: 10.1016/s2215-0366(20)30046-8.
  • Xing, Dan, Yu Zhao, Shengjie Dong, and Jianhao Lin. 2018. Global research trends in stem cells for osteoarthritis: a bibliometric and visualized study. Int J Rheum Dis ;21(7):1372-1384.
  • Yue, X. G., X. F. Shao, R. Y. M. Li, M. J. C. Crabbe, L. L. Mi, S. Y. Hu, J. S. Baker, and G. Liang. 2020. Risk Management Analysis for Novel Coronavirus in Wuhan, China. Journal of Risk and Financial Management ;13(2). doi: 10.3390/jrfm13020022.
  • Zhang, W. N., Y. X. Wang, L. L. Yang, and C. Y. Wang. 2020. Suspending Classes Without Stopping Learning: China's Education Emergency Management Policy in the COVID-19 Outbreak. Journal of Risk and Financial Management ;13(3). doi: 10.3390/jrfm13030055.
  • Zhou, Yi, and Liyu Chen. 2020. Twenty-Year Span of Global Coronavirus Research Trends: A Bibliometric Analysis. Int. J. Environ. Res. Public Health ;17(9):3082.
  • Zhu, N., D. Y. Zhang, W. L. Wang, X. W. Li, B. Yang, J. D. Song, X. Zhao, B. Y. Huang, W. F. Shi, R. J. Lu, P. H. Niu, F. X. Zhan, X. J. Ma, D. Y. Wang, W. B. Xu, G. Z. Wu, G. G. F. Gao, W. J. Tan, and Coronavirus China Novel. 2020. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N. Engl. J. Med ;382(8):727-733. doi: 10.1056/NEJMoa2001017.
Toplam 42 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Kurumları Yönetimi
Bölüm Araştırma Makaleleri
Yazarlar

Mustafa Kaya 0000-0002-2005-5370

Elif Erbay 0000-0003-3789-7141

Yayımlanma Tarihi 30 Aralık 2020
Yayımlandığı Sayı Yıl 2020 Cilt: 9 Sayı: 2

Kaynak Göster

APA Kaya, M., & Erbay, E. (2020). Global Trends of the Researches on COVID-19: A Bibliometric Analysis via VOSviewer. Ankara Sağlık Bilimleri Dergisi, 9(2), 201-216.