論文

査読有り
2013年11月

Detection of human taeniases in Tibetan endemic areas, China

PARASITOLOGY
  • Tiaoying Li
  • Xingwang Chen
  • Tetsuya Yanagida
  • Hao Wang
  • Changping Long
  • Yasuhito Sako
  • Munehiro Okamoto
  • Yunfei Wu
  • Patrick Giraudoux
  • Francis Raoul
  • Agathe Nkouawa
  • Minoru Nakao
  • Philip S. Craig
  • Akira Ito
  • 全て表示

140
13
開始ページ
1602
終了ページ
1607
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1017/S003118201300111X
出版者・発行元
CAMBRIDGE UNIV PRESS

Detection of taeniasis carriers of Taenia solium is essential for control of cysticercosis in humans and pigs. In the current study, we assessed the positive detection rate of a self-detection tool, stool microscopy with direct smear and coproPCR for taeniasis carriers in endemic Tibetan areas of northwest Sichuan. The self-detection tool through questioning about a history of proglottid expulsion within the previous one year showed an overall positive detection rate of more than 80% for Taenia saginata, T. solium and T. asiatica. The positive detection rate was similar for T. saginata and T. solium. In 132 taeniid tapeworm carriers, 68 (51.5%) were detected by microscopy and 92 (69.7%) were diagnosed by coproPCR. A combination of microscopy and coproPCR increased the positive detection rate to 77.3%. There remained 10 cases (7.6%) coproPCR negative but microscopy positive. Due to the high cost and complicated process, coproPCR is required for the identification of Taenia species only when necessary, though it had a significant higher positive detection rate than microscopy. Combined use of self-detection and stool microscopy are recommended in community-based mass screening for taeniases in this Tibetan area or in other situation-similar endemic regions.

リンク情報
DOI
https://doi.org/10.1017/S003118201300111X
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000325780100007&DestApp=WOS_CPL
ID情報
  • DOI : 10.1017/S003118201300111X
  • ISSN : 0031-1820
  • eISSN : 1469-8161
  • Web of Science ID : WOS:000325780100007

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