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The recent outbreak of the MPox virus has resulted in a tremendous increasein the usage of Twitter. Prior works in this area of research have primarilyfocused on the sentiment analysis and content analysis of these Tweets, and thefew works that have focused on topic modeling have multiple limitations. Thispaper aims to address this research gap and makes two scientific contributionsto this field. First, it presents the results of performing Topic Modeling on601,432 Tweets about the 2022 Mpox outbreak that were posted on Twitter between7 May 2022 and 3 March 2023. The results indicate that the conversations onTwitter related to Mpox during this time range may be broadly categorized intofour distinct themes - Views and Perspectives about Mpox, Updates on Cases andInvestigations about Mpox, Mpox and the LGBTQIA+ Community, and Mpox andCOVID-19. Second, the paper presents the findings from the analysis of theseTweets. The results show that the theme that was most popular on Twitter (interms of the number of Tweets posted) during this time range was Views andPerspectives about Mpox. This was followed by the theme of Mpox and theLGBTQIA+ Community, which was followed by the themes of Mpox and COVID-19 andUpdates on Cases and Investigations about Mpox, respectively. Finally, acomparison with related studies in this area of research is also presented tohighlight the novelty and significance of this research work.

Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets