Abstract
Recent developments in big data technologies have highlighted the potential of enhancing the role of pharmacovigilance. This study aims to assess the potential of utilizing social media for pharmacovigilance using online health counseling on abnormal menstruation after receiving vaccination for coronavirus disease. We crawled relevant posts regarding vaccine adverse events published on Naver Jisik-iN from February 2021 to August 2022 using keywords “vaccine” and “menstruation.” After preprocessing all collected posts, selected posts were classified based on vaccination information and type of adverse events. A descriptive statistical analysis was performed to analyze the characteristics and timing of the selected posts and their association with vaccination. Following preprocessing, 4,154 posts were chosen, and the highest number of posts was generated in October 2021. Among them, 87.75% (n=3,645) were posted after vaccination. Of the 3,645 posts, certain, probable, and possible associations were identified in 63.40, 4.83, and 31.74% posts. The most frequently reported symptom was change in the menstrual cycle, and serious adverse events that required medical attention were observed in 3.05% cases. The study results present a potential pharmacovigilance strategy that leverages social media to complement the voluntary reporting system.
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