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KMID : 0370220210650050355
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Yakhak Hoeji
2021 Volume.65 No. 5 p.355 ~ p.362
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Trends in Adverse Event Reports and Signal Detection of Adverse Event Following Vaccination
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Kim Bo-Ra
Yoon Dong-Won
Shin Ju-Young
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Abstract
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As vaccines are administered to many people, the management of adverse reactions to vaccines should be apriority. This study aims to detect signals of adverse events following immunization to provide information on the eventsrequiring attention. The Korean Adverse Event Reporting System database from 2010 to 2019 was used. Time series,status, and signal analyses were performed. The number of adverse events following immunization from 2010 to 2019 wasdetermined. A comparison group was established considering the main vaccination targets for each vaccine. Signalinformation was detected that satisfies all four signal detection methods: proportional reporting ratio, reporting odds ratio,information component, and TreeScan. From 2010 to 2019, the number of adverse events following immunization reportedwas 37,688. The vaccines having the most reported adverse events were influenza (17,290 cases, 45.9%). Because ofidentifying the signal information of the top-10 vaccines based on adverse events, 74 adverse events were identified in 6vaccines. The results are expected to contribute to the prevention of adverse events by providing information on adverseevents following immunization requiring attention.
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KEYWORD
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Vaccine, Adverse events, KIDS KAERS database, Signal detection
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