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
김흥업 (제주대학교)
저널정보
대한상부위장관 헬리코박터학회 Korean Journal of Helicobacter Upper Gastrointestinal Research Korean Journal of Helicobacter Upper Gastrointestinal Research Vol.19 No.1
발행연도
2019.1
수록면
23 - 37 (15page)

이용수

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

초록· 키워드

오류제보하기
Anisakidosis is a term that collectively refers to a human infection caused by larvae of the family Anisakidae. Because Anisakis simplex was the main cause, it was originally called anisakiasis or anisakiosis, but since other parasites such as Pseudoterranova decipiens also cause similar diseases, the family name is now used as the diagnostic name. Anisakidosis cases have been increasing steadily owing to the propagation of the Japanese raw-fish-eating culture, such as sushi and sashimi, around the world; the traditional raw-fish-eating habits of individual countries; the establishment of marine mammal protection laws; and the development of endoscopic diagnostic techniques. The disease continues to occur in Korea, where most human parasites are believed to have been eradicated and is probably the most common parasitic disease encountered in clinical practice. Anisakidosis is a disease associated with acute abdominal pain. Anisakid larvae can invade the entire digestive tract and abdominal cavity and cause abdominal pain and a variety of digestive system symptoms. Thus, the history of eating raw fish is very important for its differential diagnosis. The lack of a precise understanding of the pathogenesis and clinical course of this disease may lead to unnecessary surgery. Anisakidosis may also manifest as allergic symptoms. Therefore, it is necessary to understand anisakidosis from the perspective of public health, food hygiene, and preventive medicine. (Korean J Helicobacter Up Gastrointest Res 2019;19:23-37)

목차

등록된 정보가 없습니다.

참고문헌 (96)

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