메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
박형욱 (단국대학교 의과대학 인문사회의학교실)
저널정보
대한의사협회 대한의사협회지 대한의사협회지 제65권 제1호
발행연도
2022.1
수록면
66 - 78 (13page)
DOI
http://dx.doi.org/10.5124/jkma.2022.65.1.66

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Background: Republic of Korea (ROK) has coped well with coronavirus disease 2019 (COVID-19) without requiring an extreme containment policy. However, it is necessary to evaluate issues revealed during the COVID-19 quarantine process. Current Concepts: In the quarantine policy, the legal and scientific basis for quarantine, role of ministries in charge, government-wide support, fairness of quarantine measures, protection of vulnerable people, compensation for vaccination damage, and quarantine budget are important. Discussion and Conclusion: As a result of reviewing the COVID-19 quarantine process, the following issues were found. First, COVID-19 was not properly designated as a first-class infectious disease under the Infectious Disease Control and Prevention Act. Second, the major direction of the quarantine policy did not reflect ROK’s objective scientific capabilities. Third, quarantine measures did not reflect the relative risk of infection. Fourth, the professional and objective judgments of the Korea Disease Control and Prevention Agency were not respected by other Government officers. Fifth, the fairness of the quarantine policy was greatly undermined. Sixth, the vulnerable and those caring for them were marginalized. Seventh, the purpose of the vaccination damage compensation system of the Infectious Disease Control and Prevention Act was not well reflected. Eighth, the quarantine policy was ignored in allocation of the national budget. To properly respond to future infectious diseases, ROK must address issues that emerged during the COVID-19 quarantine process.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0