Volume 17, Issue 2 (7-2021)
J Health Syst Res 2021, 17(2): 142-149 |
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1- Associate Professor, Department of Information Science and Knowledge, School of Social Sciences, Yazd University, Yazd, Iran
2- Department of Information Science and Knowledge, School of Social Sciences, Yazd University, Yazd, Iran
2- Department of Information Science and Knowledge, School of Social Sciences, Yazd University, Yazd, Iran
Abstract: (1721 Views)
Background: Coronavirus disease 2019 (COVID-19) is a major global health concern due to its pathogenicity and widespread distribution around the world. The purpose of the present study was to draw and analyze the conceptual network of scientific products in the subject field of COVID-19 in PubMed database in order to know more about this field.
Methods: This descriptive-analytical study analyzed the content of the texts with scientometrics approach. The research population included 9999 articles in the field of COVID-19 which were indexed in the PubMed database in the period of 2020-2021. Data analysis and dawing of the conceptual network were done using Ravar PreMap, UCINET, NetDraw, and VOSviewer software.
Findings: According to the centrality indexes, concepts such as “SARS-CoV-2” and “Pandemics” were the most used topics in this field. The intellectual structure of the field was divided into four thematic clusters including “Pandemic and control of infectious diseases”, “COVID-19 treatment”, “The factors related to disease severity”, and “Quarantine and detection of COVID-19”.
Conclusion: By analyzing the topics attributed to the documents, the formed subject clusters have a structural relationship with each other. The majority of researchers focused on the pandemic, infectious disease control, and treatment of COVID-19. Multi-sectoral research (investigating the different angles) is needed in areas such as social, economic, political, or cultural factors that have received less attention.
Methods: This descriptive-analytical study analyzed the content of the texts with scientometrics approach. The research population included 9999 articles in the field of COVID-19 which were indexed in the PubMed database in the period of 2020-2021. Data analysis and dawing of the conceptual network were done using Ravar PreMap, UCINET, NetDraw, and VOSviewer software.
Findings: According to the centrality indexes, concepts such as “SARS-CoV-2” and “Pandemics” were the most used topics in this field. The intellectual structure of the field was divided into four thematic clusters including “Pandemic and control of infectious diseases”, “COVID-19 treatment”, “The factors related to disease severity”, and “Quarantine and detection of COVID-19”.
Type of Study: Research |
Received: 2021/07/5 | Accepted: 2021/01/29 | Published: 2021/01/29
Received: 2021/07/5 | Accepted: 2021/01/29 | Published: 2021/01/29
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