<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Immunodiagnostic and molecular approaches for the detection of taeniid cestode infections

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2003 Japan Publisher:Elsevier BVJournal:Trends in Parasitology, volume 19, pages 377-381 (issn: 1471-4922,

Authors: Ito, Akira; Craig, PS;

doi: 10.1016/s1471-4922(03)00200-9

pmid: 12957509

Immunodiagnostic and molecular approaches for the detection of taeniid cestode infections

- Summary
- Subjects
- Metrics

Abstract

This article summarizes the most recent advances in techniques and applications for the detection of taeniid cestode-infected persons or animals. In addition, the use of molecular approaches for strain identification and control of parasite transmission is discussed.

Country

Japan

Related Organizations

University of Salford
United Kingdom
Asahikawa Medical University
Japan
Asahikawa Medical College Hospital
Japan

Keywords

Taenia, Vaccination, Antibodies, Helminth, DNA, Helminth, Sensitivity and Specificity, Echinococcus, Echinococcosis, Animals, Domestic, Antigens, Helminth, Animals, Humans, Taeniasis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	95
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%