Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique

Danesh, Farshid; Ghavidel, Somayeh; Emami, Maryam

doi:10.30699/ijmm.15.4.400

year 15, Issue 4 (July - August 2021) Iran J Med Microbiol 2021, 15(4): 400-413 | Back to browse issues page

‎ 10.30699/ijmm.15.4.400

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Danesh F, Ghavidel S, Emami M. Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique. Iran J Med Microbiol 2021; 15 (4) :400-413
URL: http://ijmm.ir/article-1-1289-en.html

Influenza Global Scholarly Publications in the Mirror of the Co-Word Analysis Technique

Farshid Danesh¹

, Somayeh Ghavidel²

, Maryam Emami³

1- Assistant Prof. of LIS, Department of Information Management, Regional Information Center for Science & Technology (RICeST), Shiraz, Iran , farshiddanesh@ricest.ac.ir
2- Graduated of knowledge and Information Science, Shemiranat Public Libraries Office, Tehran, Iran
3- Ph.D. in knowledge and Information Science, Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran

Abstract: (4224 Views)

Background and Objective: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countries' health, and the amount of research in this area is increasing. The primary purpose this study is to discover the hidden patterns and emerging events of global influenza publications.
Materials and Methods: This article is an applied type was done with an analytical approach and using the Co-word analysis method. This research's statistical population includes all the keywords of documents indexed with influenza's subject in the WOSCC in the last two decades. The number of keywords studied in this article is 26767. MeSH was used to determine the search strategy for document retrieval.
Results: The keywords "Avian Influenza" and "Influenza Vaccine" with a frequency of 1302 and 1264 were the most frequent keywords in the subject area of influenza. Findings related to the analysis of clusters by the hierarchical clustering method created 21 clusters in the field of influenza. Seventeen clusters with the most keywords were the largest cluster. The strategic diagram indicated that most influenza subject area clusters are located in the third quadrant of the strategic diagram and are considered emerging or declining subjects.
Conclusion: Discovering the intellectual structure, presenting hidden patterns and emerging events of global publications in the field of influenza infections can help governments, communities, and research centers in understanding research advances, optimizing and managing future research topics, and effectively monitoring and policy-making activities-new research and allocation of facilities and budget.

Keywords: Influenza, Influenza virus, flu, Scientometrics, Co-word analysis

Full-Text [PDF 1326 kb] (1349 Downloads) | | Full-Text (HTML) (1195 Views)

Type of Study: Original Research Article | Subject: Medical Virology
Received: 2021/03/2 | Accepted: 2021/07/24 | ePublished: 2021/08/16

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