Analysis of scientific production on the new coronavirus (COVID-19)
a bibliometric analysis
Palavras-chave:
Coronavirus infections, Nursing research, COVID-19 [supplementary concept]Resumo
BACKGROUND: The pandemic of the new coronavirus has culminated in a scientific race to seek knowledge about this virus and its treatments, vaccines and preventive strategies, in order to reduce its impact on healthcare and economics worldwide. Hence, it is important to recognize the efforts of researchers who are at the forefront of investigations relating to the new coronavirus. OBJECTIVE: The present study was carried out with the aim of analyzing the world scientific production relating to COVID-19. DESIGN AND SETTING: Exploratory and descriptive bibliometric study conducted in the city of Teresina (PI), Brazil. METHOD: ISI Web of Knowledge/Web of Science (WOS) was chosen as the database. Data-gathering was carried out in May 2020. The data analysis was performed using the HistCiteTM software, version 9.8.24, and the VOSviewer bibliometric analysis software, version 1.6.8. RESULTS: 2,625 published papers that included descriptors within the scope of this investigation were identified. These articles were published in 859 different journals that are indexed in WOS, by 9,791 authors who were linked to 3,365 research institutions, located in 105 countries. CONCLUSION: Ascertaining scientific production through a bibliometric analysis is important in order to guide researchers on what has already been produced and what is being researched, so as to be able to address gaps in knowledge through future research.
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Zhu N, Zhang D, Wang W, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727-33. PMID: 31978945; https://doi.org/10.1056/NEJMoa2001017.
Cascella M, Rajnik M, Cuomo A, Dulebohn SC, Di Napoli R. Treasure Island (FL): StatPearls Publishing; July 4, 2020. PMID: 32150360. Available from: https://www.ncbi.nlm.nih.gov/books/NBK554776/. Accessed in 2020 (Aug 10).
World Health Organization (WHO). Coronavirus disease 2019 (COVID-19) Situation Report − 72. 2020. Available from: https://apps.who.int/iris/bitstream/handle/10665/331685/nCoVsitrep01Apr2020-eng.pdf. Accessed in 2020 (Aug 10).
Fauci AS, Lane HC, Redfield RR. Covid-19 - Navigating the uncharted. N Engl J Med. 2020;382(13):1268-9. PMID: 32109011; https://doi.org/10.1056/NEJMe2002387.
Bai Y, Yao L, Wei T, et al. Presumed Asymptomatic carrier transmission of COVID-19. JAMA. 2020;323(14):1406-7. PMID: 32083643; https://doi.org/10.1001/jama.2020.2565.
Santos PM, Selig PM. Indicadores para o novo serviço público: uma análise bibliométrica e sistêmica [Indicators for the new public service: a bibliometric and systemic analysis]. Perspect Ciênc Inf. 2014;19(3):82-97. https://doi.org/10.1590/1981-5344/1818.
Moura LKB, de Mesquita RF, Mobin M, et al. Uses of bibliometric techniques in public health research. Iran J Public Health. 2017;46(10):1435-6. PMID: 29308389.
Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. PMID: 31986264; https://doi.org/10.1016/S0140-6736(20)30183-5.
Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020;395(10223):507-13. PMID: 32007143; https://doi.org/10.1016/S0140-6736(20)30211-7.
Lu R, Zhao X, Li J, et al. Genomic characterization and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020;395(10224):565-74. PMID: 32007145; https://doi.org/10.1016/S0140-6736(20)30251-8.
Holshue ML, DeBolt C, Lindquist S, et al. First Case of 2019 Novel Coronavirus in the United States. N Engl J Med. 2020;382(10):929-36. PMID: 32004427; https://doi.org/10.1056/NEJMoa2001191.
Wu F, Zhao S, Yu B, et al. A new coronavirus associated with human respiratory disease in China. Nature. 2020;579(7798):265-269. PMID: 32015508; https://doi.org/10.1038/s41586-020-2008-3.
Rothe C, Schunk M, Sothmann P, et al. Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany. N Engl J Med. 2020;382(10):970-1. PMID: 32003551; https://doi.org/10.1056/NEJMc2001468.
Zhou F, Yu T, Du R, 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):1054-62. PMID: 32171076; https://doi.org/10.1016/S0140-6736(20)30566-3.
Zou L, Ruan F, Huang M, et al. SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients. N Engl J Med. 020;382(12):1177-9. PMID: 32074444; https://doi.org/10.1056/NEJMc2001737.
Chen H, Guo J, Wang C, et al. Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records. Lancet. 2020;395(10226):809-15. PMID: 32151335; https://doi.org/10.1016/S0140-6736(20)30360.
Liang W, Guan W, Chen R, et al. Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Lancet Oncol. 2020;21(3):335-7. PMID: 32066541; https://doi.org/10.1016/S1470-2045(20)30096-6.
Chahrour M, Assi S, Bejjani M, et al. A Bibliometric Analysis of COVID-19 Research Activity: A Call for Increased Output. Cureus 2020;12(3):e7357. PMID: 32328369; https://doi.org/10.7759/cureus.7357.
Rodriguez-Morales AJ, Bonilla-Aldana DK, Balbin-Ramon GJ, et al. History is repeating itself: probable zoonotic spillover as the cause of the 2019 novel Coronavirus Epidemic. Infez Med. 2020;28(1):3-5. PMID: 32009128.19. Singh R, Adhikari R. Age-structured impact of social distancing on the COVID-19 epidemic in India. Cornell University. arXiv. 2020. Available from: https://arxiv.org/abs/2003.12055. Accessed in 2020 (Aug 11).
Hunter DJ. Covid-19 and the Stiff Upper Lip-The pandemic response in the United Kingdom. N Engl J Med. 2020;382(16):e31. PMID: 32197002; https://doi.org/10.1056/NEJMp2005755.
Stafford N. Covid-19: Why Germany’s case fatality rate seems so low. BMJ. 2020;369:m1395. PMID: 32265194; https://doi.org10.1136/bmj.m1395.
Remuzzi A, Remuzzi G. COVID-19 and Italy: what next? Lancet. 2020;395(10231):1225-8. PMID: 32178769; https://doi.org/10.1016/50140-6736(20)30627-9.
Van ENJ, Waltman L. Visualizing bibliometric networks. In: Ding Y, Rousseau R, Wolfram D, editors. Measuring scholarly impact: methods and practice. London: Springer; 2019. p. 285-320. https://doi.org/10.1007/978-3-319-10377-8_13.
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