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Title: Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
Authors: Sai Thein Than Tun
Yoel Lubell
Arjen M. Dondorp
Tom Fieldman
Kyaw Myo Tun
Olivier Celhay
Xin Hui Chan
Sompob Saralamba
Lisa J. White
Mahidol University
Nuffield Department of Clinical Medicine
University of Cambridge
Defence Services Medical Academy
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology
Issue Date: 1-May-2017
Citation: PLoS ONE. Vol.12, No.5 (2017)
Abstract: © 2017 Tun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The emergence of artemisinin-resistant Plasmodium falciparum malaria is a major threat to malaria elimination. New tools for supporting the surveillance of artemisinin resistance are critical for current and future malaria control and elimination strategies. We have developed an open-Access, user-friendly, web-based tool to analyse parasite clearance half-life data of P. falciparum infected patients after treatment with artemisinin derivatives, so that resistance to artemisinin can be identified.
ISSN: 19326203
Appears in Collections:Scopus 2016-2017

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