Ikhwan Yuda Kusuma, Suherman Suherman
Background: Long coronavirus disease (COVID) is a complex and multifaceted health condition with a range of severe symptoms that can last for weeks or even months after the acute phase of the illness has passed. Employing social network analysis (SNA) can rapidly provide significant health information to communities related to long COVID. This study aimed to identify the key themes, most influential users, and overall sentiments in the Twitter discourse on long COVID. Methods: Data were collected from a Twitter search with the specific keywords “long COVID” from December 1, 2022, to February 22, 2023, using NodeXL Pro. Visualizations, including network graphs and key influencers, were created using Gephi, and sentiment analysis was conducted with Azure Machine. Results: In total, 119,185 tweets from 94 325 users were related to long COVID. Top influencers include medical professionals, researchers, journalists, and public figures, with news media platforms as primary information sources; the most common hashtag was #longCOVID, indicating that it is a significant issue of concern among the Twitter community. In the sentiment analysis, most tweets were negative. Conclusion: The study highlights the importance of critically evaluating information shared by influential users and seeking out multiple sources of information when making health-related decisions. In addition, it emphasizes the value of examining social media conversations to understand public discourse on long COVID and suggests that future researchers could explore the role of social media in shaping public perceptions and behaviors related to health issues. Strategies for enhancing scientific journal en a ement and influence in online discussions are discussed as well © 2024 Academy of Medical Sciences of I.R. Iran. All rights reserved.
Institute of Clinical Pharmacy, University of Szeged, Szeged, H-6725, Hungary; Pharmacy Study Program, Faculty of Health, Universitas Harapan Bangsa, Purwokerto, 53182, Indonesia; Doctoral School of Educational Sciences, Faculty Humanities and Social Science, University of Szeged, Szeged, 6722, Hungary; Mathematics Education, Faculty of Teaching and Teacher Education, Universitas Islam Negeri Raden Intan Lampung, Indonesia
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