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

Background and Objective: Influenza is a global epidemic disease that always causes irreparable damage to individuals and countrieschr('39') 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 researchchr('39')s statistical population includes all the keywords of documents indexed with influenzachr('39')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.