COVID-19 Pandemisinin İlk Yılında Halk Sağlığı Araştırmaları: Bibliyometrik ve İçerik Analizi

Yıl 2025, Cilt: 4 Sayı: 4, 112 - 123, 30.12.2025

Kübra Şahin , Murat Topbaş , Nazım Ercüment Beyhun

https://doi.org/10.59518/farabimedj.1728434

Öz

Bu araştırmada 2020 yılında COVID-19 ile ilgili halk sağlığı alanında yayınlanan araştırma makalelerinin bibliyometrik ve içerik analizlerini yapmak amaçlanmıştır. Web of Science veritabanında, belirlenen anahtar kelimeler (COVID-19, coronavirus disease 2019, 2019-nCov, 2019 Novel Coronavirus, SARS-CoV-2) ve filtreleme sonucunda 2.949 makaleye ulaşıldı. Dahil etme ve hariç tutma kriterlerinin uygulanmasının ardından 1.553 araştırma makalesinin bibliyometrik ve içerik analizleri yapıldı. Bu analizlerde Microsoft Excel, VOSviever 1.6.2 ve Python 3.10 ve scikit-learn 1.5 yazılımları kullanıldı. 1.553 araştırma makalesinin bibliyometrik ve içerik analizleri sonucunda 113 ülke, 2.706 kurum ve 8.703 yazar olduğu bulundu. 3.471 farklı anahtar kelime kullanıldığı ve makalelerin 179 bilimsel dergide yayınlandığı tespit edildi. En üretken ülke ABD olarak saptandı. Anahtar kelimeler kullanılarak dört tema ve özet bölümleri kullanılarak 20 tema ortaya çıkarıldı. Bir bütün olarak değerlendirildiğinde, farklı ülke, kurum ve yazarların COVID-19 pandemisine yönelik “hastalık etkeni, mortalite ve ilişkili faktörler, hastalığa ilişkin bilgi, tutum ve davranışlar, mental ve psikolojik sağlık üzerine etkileri” konularını ele alan çalışmalar yaptığı görülmektedir.

Anahtar Kelimeler

Bibliyometrik analiz , COVID-19 , Halk sağlığı , İçerik analizi

Etik Beyan

Bu çalışma Karadeniz Teknik Üniversitesi Tıp Fakültesi Bilimsel Araştırma Etik Kurulu tarafından 26.10.2020 tarih ve 24237859-653 sayılı kararla onaylanmıştır.

Public Health Research in the First Year of the COVID-19 Pandemic: Bibliometric and Content Analyses

Öz

The purpose of this research was to perform bibliometric and content analyses of research articles in the field of COVID-19-related public health published in 2020. Keywords (“COVID-19” or “coronavirus disease 2019” or “2019-nCov” or “2019 Novel Coronavirus” or “SARS-CoV-2”) determined in the Web of Science database and filtering resulted in 2949 articles being identified, and following application of inclusion and exclusion criteria, 1553 research articles were subjected to bibliometric and content analyses. These analyses were performed on Microsoft Excel, VOSviever 1.6.2, and Python 3.10 and scikit-learn 1.5 software. Bibliometric and contents analyses of the 1553 research articles revealed 113 countries, 2706 institutions, and 8703 authors, with 3471 different keywords being employed, and papers being published in 179 scientific journals. The most productive country was the USA. Four themes were revealed using the keywords, and 20 using the abstract sections. Evaluated as a whole, studies from different countries, institutions, and authors concerned the subjects of the COVID-19 “disease agent, mortality and associated factors, information, attitudes, and behaviors concerning the disease, and its effects on mental and psychological health”.

Anahtar Kelimeler

Bibliometric analysis , Content analysis , COVID-19 , Public health

Etik Beyan

This study was approved by the Scientific Research Ethics Committee of Karadeniz Technical University Faculty of Medicine (decision dated 26.10.2020 and numbered 24237859-653).

Kaynakça

• World Health Organization. Covid-19 public health emergency of international concern (PHEIC). World Health Organization. https://www.who.int/publications/m/item/covid-19-public-health-emergency-of-international-concern-(pheic)-global-research-and-innovation-forum. Published February 12, 2020. Accessed September 10, 2020.
• Zhang L, Zhao W, Sun B, Huang Y, Glänzel W. How scientific research reacts to international public health emergencies: A global analysis of response patterns. Scientometrics. 2020;124(1):747-773.
• Persson O, Melin G, Danell R, Kaloudis A. Research collaboration at Nordic universities. Scientometrics. 1997;39(2):209-223.
• Roemer RC, Borchardt R. Meaningful metrics: A 21st-century librarian’s guide to bibliometrics, altmetrics, and research impact. 1st ed. Chicago, IL: Association of College and Research Libraries; 2015:33-48.
• Zancanaro A, Erpen JG, Santos JLS, Steil AV, Todesco JL. Mapping of the scientific production on organizational memory and ontologies. Perspect Cienc Inf. 2013;18(1):43-65.
• Zancanaro A, Todesco JL, Ramos F. A bibliometric mapping of open educational resources. Int Rev Res Open Distrib Learn. 2015;16(1):1-23.
• Web of Science Core Collection. Clarivate. https://clarivate.com/webofsciencegroup/solutions/web-of-science-core-collection/. Published 2021. Accessed September 15, 2020.
• Waltman L, Van Eck NJ, Noyons ECM. A unified approach to mapping and clustering of bibliometric networks. J Informetr. 2010;4(4):629-635.
• Appio FP, Martini A, Massa S, Testa S. Unveiling the intellectual origins of social media-based innovation: Insights from a bibliometric approach. Scientometrics. 2016;108:355-388.
• Noack A. Energy models for graph clustering. J Graph Algorithms Appl. 2007;11(2):453-480.
• Thavorn J, Gowanit C, Muangsin VMN. Collaboration network and trends of global coronavirus disease research: A scientometric analysis. IEEE Access. 2021;9:45001-45016.
• Lou J, Tian SJ, Niu SM, et al. Coronavirus disease 2019: A bibliometric analysis and review. Eur Rev Med Pharmacol Sci. 2020;24:3411-3421.
• Wang J, Hong N. The covid-19 research landscape: Measuring topics and collaborations using scientific literature. Medicine. 2020;99(43):e22849.
• Farooq RK, Rehman SU, Ashiq M, Siddique N. Bibliometric analysis of coronavirus disease (covid-19) literature published in Web of Science 2019-2020. J Fam Community Med. 2021;28(1):1-7.
• Tran BX, Ha GH, Nguyen LH, Vu GT. Studies of novel coronavirus disease 19 (covid-19) pandemic: A global analysis of literature. Int J Environ Res Public Health. 2020;17(4095):1-16.
• Worldometers. United States coronavirus cases. https://www.worldometers.info/coronavirus/country/us/. Published April 17, 2021. Accessed April 17, 2021.
• Worldometers. Italy coronavirus cases 2021. https://www.worldometers.info/coronavirus/country/italy/. Published April 17, 2021. Accessed April 17, 2021.
• Else H. How a torrent of covid science changed research publishing—in seven charts. Nature. 2020;588:553.
• Holdren JP. How international cooperation in research advances both science and diplomacy. Scientific American. https://blogs.scientificamerican.com/guest-blog/how-international-cooperation-in-research-advances-both-science-and-diplomacy/. Published April 27, 2017. Accessed April 22, 2021.
• Zhou Y, Chen L. Twenty-year span of global coronavirus research trends: A bibliometric analysis. Int J Environ Res Public Health. 2020;17(3082):1-12.
• Yang F, Zhang S, Wang Q, et al. Analysis of the global situation of covid-19 research based on bibliometrics. Health Inf Sci Syst. 2020;8(1):1-10.
• World Health Organization. Promoting mental health preparedness and response for public health emergencies. https://apps.who.int/gb/ebwha/pdf_files/EB148/B148(3)-en.pdf. Published January 20, 2021. Accessed April 25, 2021.
• World Health Organization. Mental health preparedness and response for the covid-19 pandemic. https://apps.who.int/gb/ebwha/pdf_files/EB148/B148_20-en.pdf. Published January 8, 2021. Accessed April 25, 2021.
• EPPI-Centre. Covid-19: Living map of the evidence. http://eppi.ioe.ac.uk/COVID19_MAP/covid_map_v42.html. Published March 18, 2021. Accessed April 22, 2021.
• Straif-Bourgeois S, Ratard R, Kretzschmar M. Infectious disease epidemiology. In: Ahrens W, Pigeot I, eds. Handbook of epidemiology. New York, NY: Springer; 2014.
• World Health Organization. Estimating mortality from covid-19. https://www.who.int/news-room/commentaries/detail/estimating-mortality-from-covid-19. Published August 4, 2020. Accessed April 25, 2021.