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      국내 허가 백신의 이상사례 보고현황과 실마리정보 분석 = Trends in Adverse Event Reports and Signal Detection of Adverse Event Following Vaccination

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      https://www.riss.kr/link?id=A107891152

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      다국어 초록 (Multilingual Abstract)

      As vaccines are administered to many people, the management of adverse reactions to vaccines should be a priority. This study aims to detect signals of adverse events following immunization to provide information on the events requiring attention. The...

      As vaccines are administered to many people, the management of adverse reactions to vaccines should be a priority. This study aims to detect signals of adverse events following immunization to provide information on the events requiring 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 was determined. A comparison group was established considering the main vaccination targets for each vaccine. Signal information 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 reported was 37,688. The vaccines having the most reported adverse events were influenza (17,290 cases, 45.9%). Because of identifying the signal information of the top-10 vaccines based on adverse events, 74 adverse events were identified in 6 vaccines. The results are expected to contribute to the prevention of adverse events by providing information on adverse events following immunization requiring attention.

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      목차 (Table of Contents)

      • 서론(Introduction) 방법(Methods) 결과(Results) 고찰(Discussion) 결론(Conclusion) 감사의말씀(Acknowledgment) Conflict of Interest References
      • 서론(Introduction) 방법(Methods) 결과(Results) 고찰(Discussion) 결론(Conclusion) 감사의말씀(Acknowledgment) Conflict of Interest References
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      참고문헌 (Reference)

      1 박호선, "폐렴구균백신의 효과" 영남대학교 의과대학 29 (29): 1-8, 2012

      2 최윤영, "실신의 임상적 접근 및 진단" 대한내과학회 95 (95): 251-259, 2020

      3 Korea Institute of Drug Safety & Risk Management, "safety information open"

      4 Korea Disease Control and Prevention Agency, "national immunization program search site"

      5 Lane S, "Vaccine hesitancy around the globe: Analysis of three years of WHO/UNICEF Joint Reporting Form data-2015–2017" 36 : 3861-3867, 2018

      6 Lei J, "Use of a new global indicator for vaccine safety surveillance and trends in adverse events following immunization reporting 2000–2015" 36 : 1577-1582, 2018

      7 윤동원, "Updates on Vaccine Safety and Post-Licensure Surveillance for Adverse Events Following Immunization in South Korea, 2005–2017" 연세대학교의과대학 61 (61): 623-630, 2020

      8 World Health Organization, "Ten threats to global health in 2019"

      9 Jung R, "Signal detection of human papilloma virus(HPV)vaccine using Korea adverse event reporting system(KAERS)database" Sungkyunkwan University General Graduate School 2018

      10 Kim MJ, "Signal detection and comparison by type of human papilloma virus (HPV) vaccine using Korea Adverse event reporting system (KAERS) database :focused on quadrivalent and bivalent HPV vaccine" Sungkyunkwan University General Graduate School 2019

      1 박호선, "폐렴구균백신의 효과" 영남대학교 의과대학 29 (29): 1-8, 2012

      2 최윤영, "실신의 임상적 접근 및 진단" 대한내과학회 95 (95): 251-259, 2020

      3 Korea Institute of Drug Safety & Risk Management, "safety information open"

      4 Korea Disease Control and Prevention Agency, "national immunization program search site"

      5 Lane S, "Vaccine hesitancy around the globe: Analysis of three years of WHO/UNICEF Joint Reporting Form data-2015–2017" 36 : 3861-3867, 2018

      6 Lei J, "Use of a new global indicator for vaccine safety surveillance and trends in adverse events following immunization reporting 2000–2015" 36 : 1577-1582, 2018

      7 윤동원, "Updates on Vaccine Safety and Post-Licensure Surveillance for Adverse Events Following Immunization in South Korea, 2005–2017" 연세대학교의과대학 61 (61): 623-630, 2020

      8 World Health Organization, "Ten threats to global health in 2019"

      9 Jung R, "Signal detection of human papilloma virus(HPV)vaccine using Korea adverse event reporting system(KAERS)database" Sungkyunkwan University General Graduate School 2018

      10 Kim MJ, "Signal detection and comparison by type of human papilloma virus (HPV) vaccine using Korea Adverse event reporting system (KAERS) database :focused on quadrivalent and bivalent HPV vaccine" Sungkyunkwan University General Graduate School 2019

      11 김관수, "Signal Detection of Adverse Events Following Pneumococcal Vaccines from the Korea Adverse Event Reporting System Database, 2005–2016" 연세대학교의과대학 61 (61): 243-250, 2020

      12 Moro PL, "Reports of cell-based influenza vaccine administered during pregnancy in the Vaccine Adverse Event Reporting System (VAERS), 2013–2020" 39 : 678-681, 2021

      13 Woo EJ, "Postmarketing safety surveillance of quadrivalent recombinant influenza vaccine:Reports to the vaccine adverse event reporting system" 35 : 5618-5621, 2017

      14 Korea Institute of Drug Safety & Risk Management, "KIDS KAERS database User's Manual. Ver 1st ed"

      15 Korea Institute of Drug Safety & Risk Management, "KIDS KAERS database Instructions for use. ver. 9th ed"

      16 Korea Disease Control and Prevention Agency, "Computerized registration status of national vaccination in the 1st~4th quarter of 2020"

      17 Yoo SY, "Comparison of adverse events and signal detection of human papilloma virus vaccines by demographic characteristics:Using VigiBase and Korea adverse event reporting system data base" Graduate School of Public Health, Korea University 2020

      18 You SH, "Comparison of Signal Detection Methodologies Using the Korean Spontaneous" 12 : 44-52, 2020

      19 WHO Collaborating Centre for Drug Statistics Methodology, "ATC/DDD Index 2021"

      20 Kim HJ, "A signal detection of adverse event following influenza vaccination: comparison between South Korea and the US" Sungkyunkwan University General Graduate School 2020

      21 Bate A, "A Bayesian neural network method for adverse drug reaction signal generation" 54 : 315-321, 1998

      22 Korea Institute of Drug Safety & Risk Management, "2021 first quarter drug safety information report"

      23 Korea Institute of Drug Safety & Risk Management, "2020 drug safety information report"

      24 Korea Institute of Drug Safety & Risk Management, "2019 drug safety information report"

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2003-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 유지 (등재후보1차) KCI등재후보
      1999-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.2 0.2 0.22
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.23 0.18 0.403 0.02
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