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COVID-19 Pandemisi Üzerine Yapılan Çalışmaların Bilim Haritalama Tekniğiyle Analizi

Year 2021, Volume: 12 Issue: 3, 670 - 681, 01.07.2021
https://doi.org/10.31067/acusaglik.850986

Abstract

Amaç:Küresel anlamda insan sağlığına yönelik en büyük tehditlerden biri COVID-19 pandemisi olmuştur. Zamanla bu hastalığın etkileri ve tedavi yöntemleri konusunda yapılan çalışmalar da artış göstermiştir. Bu durum bu çalışmaların sistematik olarak analiz edilmesini gerekli kılmaktadır. Bu anlamda bu çalışmanın amacı, COVID-19 konusunda yapılan çalışmaların bilim haritalama tekniğine göre sistematik olarak analiz edilmesidir.
Çalışma Planı:Bu amaçla, son yıllarda bu alanlardaki yayınlarla ilgili bilgiler Scopus, Web of Science ve Pubmed veri tabanlarından elde edilmiştir. Veri tabanlarının taranması sonucunda toplamda 10746 yayına ulaşılmıştır. Ulaşılan yayınlar, VoSViewer, CiteSpace ve Carrot Search yazılım programları yoluyla analiz edilmiştir. Bu yazılım programları bibliyometrik çalışmalarda ve sonuçların yazarlara, anahtar kelimelere, ülkelere ve dergilere göre görselleştirilmesini sağlamak için kullanılmıştır.
Bulgular: Gerçekleştirilen analiz sonucunda alana en fazla katkı sağlayan ülkenin Çin, derginin ise “The Lancet” olduğu görülmüştür. Bunun yanısıra en fazla yayın yapan yazar CiteSpace yazılım programına göre Chen NS, Vosviewer veri tabanına göre Liu Y olmuştur.
Sonuç:Buna göre, daha sonra yapılacak çalışmalar için bu çalışmanın bulgularının rehberlik edebileceği düşünülmektedir.

References

  • 1.Cascella, M., Rajnik, M., Cuomo, A., Dulebohn, SC, & Di Napoli, R. Features, evaluation and treatment coronavirus (COVID-19). In Statpearls, StatPearls Publishing, 2020.
  • 2.WHO. WHO coronavirus disease (COVID-19) Dashboard 2020a.https://covid19.who.int/ . (Accessed 15 May 2020).
  • 3.WHO. WHO announces COVID-19 outbreak a pandemic, 2020b. http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/news/news/2020/3/who-announces-covid-19-outbreak-a-pandemic . (Accessed 15 May 2020).
  • 4.Li Q, Guan X, Wu P, Wang X, Zhou L et al. Early transmission dynamics in Wuhan, China, of novel coronavirus – infected pneumonia. New England Journal of Medicine 2020; 382(13): 1199-1207.
  • 5. Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity 2020; 102433.
  • 6. Wang W, Tang J, Wei F. Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. Journal of Medical Virology 2020; 92 (4): 441-447. doi: 10.1002/jmv.25689
  • 7. Ren LL, Wang YM, Wu ZQ, Xiang ZC, Guo L, Xu T et al. Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study. Chinese medical journal.
  • 8. Huang C, Wang Y, Li X, Ren L, Zhao J et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395 (10223): 497-506. doi: 10.1016/S0140- 6736(20)30183-5
  • 9.Zhou F, Yu T, Du R, Fan G, Liu Y et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395 (10229): 1054-1062. doi: 10.1016/S0140-6736(20)30566-3
  • 10.Fang Y, Zhang H, Xie J, Lin M, Ying L et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 2020; 200432.
  • 11. H Lu, Drug treatment options for the 2019-new coronavirus (2019-nCoV), Biosci. Trends (2020), https://doi.org/10.5582/bst.2020.01020.
  • 12. Chen N, Zhou M, Dong X, Qu J, Gong F et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet 2020; 395 (10223): 507-513.
  • 13. WHO. Protecting yourself and others from the spread COVID-19, 2020c. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public . (Accessed 15 May 2020).
  • 14. Leite H, Gruber T, Hodgkinson IR. Flattening the infection curve – understanding the role of telehealth in managing COVID-19. Leadership in Health Services, 2019.
  • 15. Wong HYF, Lam HYS, Fong AHT, Leung ST, Chin TWY et al. Frequency and distribution of chest radiographic findings in COVID-19 positive patients. Radiology 2020; 201160.
  • 16. Her M. Repurposing and reshaping of hospitals during the COVID-19 outbreak in South Korea. One Health 2020; 100137.
  • 17.Şahin M. Impact of weather on COVID-19 pandemic in Turkey. Science of The Total Environment 2020; 138810.
  • 18.Bettinelli G, Delmastro E, Salvato D, Salini V, Placella G. Orthopaedic patient workflow in CoViD-19 pandemic in Italy. Journal of Orthopaedics 2020; 22: 158.
  • 19.Dexter F, Elhakim M, Loftus RW, Seering MS, Epstein RH. Strategies for daily operating room management of ambulatory surgery centers following resolution of the acute phase of the COVID-19 pandemic. Journal of Clinical Anesthesia 2020; 109854.
  • 20.Ostaszewski M, Mazein A, Gillespie ME, Kuperstein I, Niarakis A et al. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. Scientific data 2020; 7 (1): 1-4.
  • 21.Tang Y, Wang S. Mathematic modeling of COVID-19 in the United States. Emerging Microbes & Infections 2020; (just accepted) 1-10.
  • 22.Kilicaslan A, Kekec AF, Eren AS, Uzun ST. Peripheral nerve blocks in a patient with suspected COVID-19 infection. Journal of Clinical Anesthesia 2020.
  • 23.Deng W, Xu Y, Kong Q, Xue J, Yu P wt al. Therapeutic efficacy of Pudilan Xiaoyan Oral Liquid (PDL) for COVID-19 in vitro and in vivo. Signal Transduction and Targeted Therapy 2020; 5(1): 1-3.
  • 24.Jeyabaladevan P. COVID-19: an FY1 on the frontline. Medical Education Online 2020; 25(1): 1759869.
  • 25.Gross A, Thiemig D, Koch FW, Schwarz M, Gläser S et al. CT appearance of severe, laboratory-proven coronavirus disease 2019 (COVID-19) in a Caucasian patient in Berlin, Germany. In RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2020; 192(5): 476-477.
  • 26.Mansoor S, Kelly S, Murphy K, Waters A, Siddiqui NS. COVID-19 pandemic and the risk of infection in multiple sclerosis patients on disease modifying therapies: "what the bleep do we know?". The Egyptian Journal of Neurology, Psychiatry and Neurosurgery 2020; 56: 1-3.
  • 27.Ceylan Z. Estimation of COVID-19 prevalence in Italy, Spain, and France. Science of The Total Environment 2020; 138817.
  • 28.van Nunen K, Li J, Reniers G, Ponnet K. Bibliometric analysis of safety culture research. Safety science 2018; 108: 248-258.
  • 29.Kurutkan MN, Orhan F. Analysis of health policy subject with science mapping techniques. İKSAD Publishing House, Ankara, 2018.
  • 30. Van Eck NJ, Waltman L. Visualizing bibliometric networks. In Measuring scholarly impact, Springer, 2014; 285-320.
  • 31.Chen C. CiteSpace: a practical guide for mapping scientific literature. Nova Science Publishers, Incorporated 2016.
  • 32. Gong R, Xue J, Zhao L, Zolotova O, Ji X et al. A Bibliometric analysis of green supply chain management based on the web of science (WOS) platform. Sustainability 2019; 11(12): 3459.
  • 33. Stefanowski J, Weiss D. Carrot 2 and language properties in web search results clustering. In International Atlantic Web Intelligence Conference (pp. 240-249). Springer, Berlin, Heidelberg, 2003.
  • 34. Zhu N, Zhang D, Wang W, Li X, Yang B et al. A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine 2020.
  • 35.Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ et al. Clinical characteristics of coronavirus disease 2019 in China. New England Journal of Medicine (published online February 28, 2020). doi: 10.1056/NEJMoa2002032
  • 36.Chan JFW, Yuan S, Kok KH, To KKW, Chu H et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet 2020; 395(10223): 514-523.
  • 37.Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. Jama 2020; 323(13): 1239-1242.
  • 38. Zhou P, Yang XL, Wang XG, Hu B, Zhang L et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 2020; 579(7798): 270-273.
  • 39. Whipple ECE, Dixon B, McGowan J. Linking health information technology to patient safety and quality outcomes: A bibliometric analysis and review. Informatics for Health and Social Care 2013; 38(1): 1-14.
  • 40.Tahamtan I, Bornmann L. What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018. Scientometrics 2019; 121(3): 1635-1684.
  • 41.Milfont TL, Page E. A bibliometric review of the first thirty years of the journal of environmental psychology. Psyecology 2013; 4(2): 195-216.
  • 42.Tran BX, Ha GH, Nguyen LH, Vu GT, Phan HT et al. Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature. medRxiv 2020.
  • 43.Golinelli, D. , Nuzzolese, AG, Boetto, E., Rallo, F., Greco, M., Toscano, F., & Fantini, MP (2020). The impact of early scientific literature in response to COVID-19: a scientometric perspective. medRxiv .
  • 44.Chahrour M, Assi S, Bejjani M, Nasrallah AA, Salhab H et al. A bibliometric analysis of Covid-19 research activity: A call for increased output. Cureus 2020; 12 (3).
  • 45.Hossain MM. Current status of global research on novel coronavirus disease (Covid-19): A bibliometric analysis and knowledge mapping. Available at SSRN 2020; 3547824 .
  • 46.Lou J, Tian SJ, Niu SM, Kang XQ, Lian HX et al. Coronavirus disease 2019: a bibliometric analysis and review. Eur Rev Med Pharmacol Sci 2020; 24(6): 3411-21.
  • 47.Hamidah I, Sriyono S, Hudha MN. A Bibliometric Analysis of Covid-19 Research Using VOSviewer. Indonesian Journal of Science and Technology 2020; 5(2): 209-216.
  • 48.Nasab FR. Bibliometric analysis of global scientific research on SARSCoV-2 (COVID-19). medRxiv 2020.
  • 49.Dehghanbanadaki H, Seif F, Vahidi Y, Razi F, Hashemi E et al. Bibliometric analysis of global scientific research on Coronavirus (COVID-19). Medical Journal of The Islamic Republic of Iran (MJIRI) 2020; 34(1): 354-362.
  • 50.Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J et al. First case of 2019 novel coronavirus in the United States. New England Journal of Medicine 2020.
  • 51.Lu R, Zhao X, Li J, Niu P, Yang B et al. Genomic characterization and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet 2020; 395(10224): 565-574.
  • 52.Wang M, Cao R, Zhang L, Yang X, Liu J et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Research 2020; 30 (3): 269-271. doi: 10.1038/s41422-020-0282-0.
  • 53. Tufan A, Güler AA, Matuccı-cerınıc M. COVID-19, immune system response, hyperinflammation and repurposing antirheumatic drugs. Turkish Journal of Medical Sciences, 2020, 50.SI-1: 620-632.

Analysis of Studies on COVID-19 Pandemic with Science Mapping Technique

Year 2021, Volume: 12 Issue: 3, 670 - 681, 01.07.2021
https://doi.org/10.31067/acusaglik.850986

Abstract

Amaç:Küresel anlamda insan sağlığına yönelik en büyük tehditlerden biri COVID-19 pandemisi olmuştur. Zamanla bu hastalığın etkileri ve tedavi yöntemleri konusunda yapılan çalışmalar da artış göstermiştir. Bu durum bu çalışmaların sistematik olarak analiz edilmesini gerekli kılmaktadır. Bu anlamda bu çalışmanın amacı, COVID-19 konusunda yapılan çalışmaların bilim haritalama tekniğine göre sistematik olarak analiz edilmesidir.
Çalışma Planı:Bu amaçla, son yıllarda bu alanlardaki yayınlarla ilgili bilgiler Scopus, Web of Science ve Pubmed veri tabanlarından elde edilmiştir. Veri tabanlarının taranması sonucunda toplamda 10746 yayına ulaşılmıştır. Ulaşılan yayınlar, VoSViewer, CiteSpace ve Carrot Search yazılım programları yoluyla analiz edilmiştir. Bu yazılım programları bibliyometrik çalışmalarda ve sonuçların yazarlara, anahtar kelimelere, ülkelere ve dergilere göre görselleştirilmesini sağlamak için kullanılmıştır.
Bulgular: Gerçekleştirilen analiz sonucunda alana en fazla katkı sağlayan ülkenin Çin, derginin ise “The Lancet” olduğu görülmüştür. Bunun yanısıra en fazla yayın yapan yazar CiteSpace yazılım programına göre Chen NS, Vosviewer veri tabanına göre Liu Y olmuştur.
Sonuç:Buna göre, daha sonra yapılacak çalışmalar için bu çalışmanın bulgularının rehberlik edebileceği düşünülmektedir.

References

  • 1.Cascella, M., Rajnik, M., Cuomo, A., Dulebohn, SC, & Di Napoli, R. Features, evaluation and treatment coronavirus (COVID-19). In Statpearls, StatPearls Publishing, 2020.
  • 2.WHO. WHO coronavirus disease (COVID-19) Dashboard 2020a.https://covid19.who.int/ . (Accessed 15 May 2020).
  • 3.WHO. WHO announces COVID-19 outbreak a pandemic, 2020b. http://www.euro.who.int/en/health-topics/health-emergencies/coronavirus-covid-19/news/news/2020/3/who-announces-covid-19-outbreak-a-pandemic . (Accessed 15 May 2020).
  • 4.Li Q, Guan X, Wu P, Wang X, Zhou L et al. Early transmission dynamics in Wuhan, China, of novel coronavirus – infected pneumonia. New England Journal of Medicine 2020; 382(13): 1199-1207.
  • 5. Rothan HA, Byrareddy SN. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. Journal of Autoimmunity 2020; 102433.
  • 6. Wang W, Tang J, Wei F. Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. Journal of Medical Virology 2020; 92 (4): 441-447. doi: 10.1002/jmv.25689
  • 7. Ren LL, Wang YM, Wu ZQ, Xiang ZC, Guo L, Xu T et al. Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study. Chinese medical journal.
  • 8. Huang C, Wang Y, Li X, Ren L, Zhao J et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395 (10223): 497-506. doi: 10.1016/S0140- 6736(20)30183-5
  • 9.Zhou F, Yu T, Du R, Fan G, Liu Y et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020; 395 (10229): 1054-1062. doi: 10.1016/S0140-6736(20)30566-3
  • 10.Fang Y, Zhang H, Xie J, Lin M, Ying L et al. Sensitivity of chest CT for COVID-19: comparison to RT-PCR. Radiology 2020; 200432.
  • 11. H Lu, Drug treatment options for the 2019-new coronavirus (2019-nCoV), Biosci. Trends (2020), https://doi.org/10.5582/bst.2020.01020.
  • 12. Chen N, Zhou M, Dong X, Qu J, Gong F et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet 2020; 395 (10223): 507-513.
  • 13. WHO. Protecting yourself and others from the spread COVID-19, 2020c. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public . (Accessed 15 May 2020).
  • 14. Leite H, Gruber T, Hodgkinson IR. Flattening the infection curve – understanding the role of telehealth in managing COVID-19. Leadership in Health Services, 2019.
  • 15. Wong HYF, Lam HYS, Fong AHT, Leung ST, Chin TWY et al. Frequency and distribution of chest radiographic findings in COVID-19 positive patients. Radiology 2020; 201160.
  • 16. Her M. Repurposing and reshaping of hospitals during the COVID-19 outbreak in South Korea. One Health 2020; 100137.
  • 17.Şahin M. Impact of weather on COVID-19 pandemic in Turkey. Science of The Total Environment 2020; 138810.
  • 18.Bettinelli G, Delmastro E, Salvato D, Salini V, Placella G. Orthopaedic patient workflow in CoViD-19 pandemic in Italy. Journal of Orthopaedics 2020; 22: 158.
  • 19.Dexter F, Elhakim M, Loftus RW, Seering MS, Epstein RH. Strategies for daily operating room management of ambulatory surgery centers following resolution of the acute phase of the COVID-19 pandemic. Journal of Clinical Anesthesia 2020; 109854.
  • 20.Ostaszewski M, Mazein A, Gillespie ME, Kuperstein I, Niarakis A et al. COVID-19 Disease Map, building a computational repository of SARS-CoV-2 virus-host interaction mechanisms. Scientific data 2020; 7 (1): 1-4.
  • 21.Tang Y, Wang S. Mathematic modeling of COVID-19 in the United States. Emerging Microbes & Infections 2020; (just accepted) 1-10.
  • 22.Kilicaslan A, Kekec AF, Eren AS, Uzun ST. Peripheral nerve blocks in a patient with suspected COVID-19 infection. Journal of Clinical Anesthesia 2020.
  • 23.Deng W, Xu Y, Kong Q, Xue J, Yu P wt al. Therapeutic efficacy of Pudilan Xiaoyan Oral Liquid (PDL) for COVID-19 in vitro and in vivo. Signal Transduction and Targeted Therapy 2020; 5(1): 1-3.
  • 24.Jeyabaladevan P. COVID-19: an FY1 on the frontline. Medical Education Online 2020; 25(1): 1759869.
  • 25.Gross A, Thiemig D, Koch FW, Schwarz M, Gläser S et al. CT appearance of severe, laboratory-proven coronavirus disease 2019 (COVID-19) in a Caucasian patient in Berlin, Germany. In RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 2020; 192(5): 476-477.
  • 26.Mansoor S, Kelly S, Murphy K, Waters A, Siddiqui NS. COVID-19 pandemic and the risk of infection in multiple sclerosis patients on disease modifying therapies: "what the bleep do we know?". The Egyptian Journal of Neurology, Psychiatry and Neurosurgery 2020; 56: 1-3.
  • 27.Ceylan Z. Estimation of COVID-19 prevalence in Italy, Spain, and France. Science of The Total Environment 2020; 138817.
  • 28.van Nunen K, Li J, Reniers G, Ponnet K. Bibliometric analysis of safety culture research. Safety science 2018; 108: 248-258.
  • 29.Kurutkan MN, Orhan F. Analysis of health policy subject with science mapping techniques. İKSAD Publishing House, Ankara, 2018.
  • 30. Van Eck NJ, Waltman L. Visualizing bibliometric networks. In Measuring scholarly impact, Springer, 2014; 285-320.
  • 31.Chen C. CiteSpace: a practical guide for mapping scientific literature. Nova Science Publishers, Incorporated 2016.
  • 32. Gong R, Xue J, Zhao L, Zolotova O, Ji X et al. A Bibliometric analysis of green supply chain management based on the web of science (WOS) platform. Sustainability 2019; 11(12): 3459.
  • 33. Stefanowski J, Weiss D. Carrot 2 and language properties in web search results clustering. In International Atlantic Web Intelligence Conference (pp. 240-249). Springer, Berlin, Heidelberg, 2003.
  • 34. Zhu N, Zhang D, Wang W, Li X, Yang B et al. A novel coronavirus from patients with pneumonia in China, 2019. New England Journal of Medicine 2020.
  • 35.Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ et al. Clinical characteristics of coronavirus disease 2019 in China. New England Journal of Medicine (published online February 28, 2020). doi: 10.1056/NEJMoa2002032
  • 36.Chan JFW, Yuan S, Kok KH, To KKW, Chu H et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. The Lancet 2020; 395(10223): 514-523.
  • 37.Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. Jama 2020; 323(13): 1239-1242.
  • 38. Zhou P, Yang XL, Wang XG, Hu B, Zhang L et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 2020; 579(7798): 270-273.
  • 39. Whipple ECE, Dixon B, McGowan J. Linking health information technology to patient safety and quality outcomes: A bibliometric analysis and review. Informatics for Health and Social Care 2013; 38(1): 1-14.
  • 40.Tahamtan I, Bornmann L. What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018. Scientometrics 2019; 121(3): 1635-1684.
  • 41.Milfont TL, Page E. A bibliometric review of the first thirty years of the journal of environmental psychology. Psyecology 2013; 4(2): 195-216.
  • 42.Tran BX, Ha GH, Nguyen LH, Vu GT, Phan HT et al. Studies of Novel Coronavirus Disease 19 (COVID-19) Pandemic: A Global Analysis of Literature. medRxiv 2020.
  • 43.Golinelli, D. , Nuzzolese, AG, Boetto, E., Rallo, F., Greco, M., Toscano, F., & Fantini, MP (2020). The impact of early scientific literature in response to COVID-19: a scientometric perspective. medRxiv .
  • 44.Chahrour M, Assi S, Bejjani M, Nasrallah AA, Salhab H et al. A bibliometric analysis of Covid-19 research activity: A call for increased output. Cureus 2020; 12 (3).
  • 45.Hossain MM. Current status of global research on novel coronavirus disease (Covid-19): A bibliometric analysis and knowledge mapping. Available at SSRN 2020; 3547824 .
  • 46.Lou J, Tian SJ, Niu SM, Kang XQ, Lian HX et al. Coronavirus disease 2019: a bibliometric analysis and review. Eur Rev Med Pharmacol Sci 2020; 24(6): 3411-21.
  • 47.Hamidah I, Sriyono S, Hudha MN. A Bibliometric Analysis of Covid-19 Research Using VOSviewer. Indonesian Journal of Science and Technology 2020; 5(2): 209-216.
  • 48.Nasab FR. Bibliometric analysis of global scientific research on SARSCoV-2 (COVID-19). medRxiv 2020.
  • 49.Dehghanbanadaki H, Seif F, Vahidi Y, Razi F, Hashemi E et al. Bibliometric analysis of global scientific research on Coronavirus (COVID-19). Medical Journal of The Islamic Republic of Iran (MJIRI) 2020; 34(1): 354-362.
  • 50.Holshue ML, DeBolt C, Lindquist S, Lofy KH, Wiesman J et al. First case of 2019 novel coronavirus in the United States. New England Journal of Medicine 2020.
  • 51.Lu R, Zhao X, Li J, Niu P, Yang B et al. Genomic characterization and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet 2020; 395(10224): 565-574.
  • 52.Wang M, Cao R, Zhang L, Yang X, Liu J et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Research 2020; 30 (3): 269-271. doi: 10.1038/s41422-020-0282-0.
  • 53. Tufan A, Güler AA, Matuccı-cerınıc M. COVID-19, immune system response, hyperinflammation and repurposing antirheumatic drugs. Turkish Journal of Medical Sciences, 2020, 50.SI-1: 620-632.
There are 53 citations in total.

Details

Primary Language English
Subjects Health Policy
Journal Section Research Articles
Authors

İlknur Arslan Çilhoroz

Yasin Çilhoroz

Enver Bozdemir

Publication Date July 1, 2021
Submission Date June 3, 2020
Published in Issue Year 2021Volume: 12 Issue: 3

Cite

EndNote Arslan Çilhoroz İ, Çilhoroz Y, Bozdemir E (July 1, 2021) Analysis of Studies on COVID-19 Pandemic with Science Mapping Technique. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 12 3 670–681.