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Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application

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-fr...

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Autores principales: Tun, Sai Thein Than, Lubell, Yoel, Dondorp, Arjen M., Fieldman, Tom, Tun, Kyaw Myo, Celhay, Olivier, Chan, Xin Hui, Saralamba, Sompob, White, Lisa J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439677/
https://www.ncbi.nlm.nih.gov/pubmed/28531230
http://dx.doi.org/10.1371/journal.pone.0177840
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author Tun, Sai Thein Than
Lubell, Yoel
Dondorp, Arjen M.
Fieldman, Tom
Tun, Kyaw Myo
Celhay, Olivier
Chan, Xin Hui
Saralamba, Sompob
White, Lisa J.
author_facet Tun, Sai Thein Than
Lubell, Yoel
Dondorp, Arjen M.
Fieldman, Tom
Tun, Kyaw Myo
Celhay, Olivier
Chan, Xin Hui
Saralamba, Sompob
White, Lisa J.
author_sort Tun, Sai Thein Than
collection PubMed
description 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. The tool can be accessed at bit.ly/id_artemisinin_resistance.
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spelling pubmed-54396772017-06-06 Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application Tun, Sai Thein Than Lubell, Yoel Dondorp, Arjen M. Fieldman, Tom Tun, Kyaw Myo Celhay, Olivier Chan, Xin Hui Saralamba, Sompob White, Lisa J. PLoS One Research Article 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. The tool can be accessed at bit.ly/id_artemisinin_resistance. Public Library of Science 2017-05-22 /pmc/articles/PMC5439677/ /pubmed/28531230 http://dx.doi.org/10.1371/journal.pone.0177840 Text en © 2017 Tun et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tun, Sai Thein Than
Lubell, Yoel
Dondorp, Arjen M.
Fieldman, Tom
Tun, Kyaw Myo
Celhay, Olivier
Chan, Xin Hui
Saralamba, Sompob
White, Lisa J.
Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
title Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
title_full Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
title_fullStr Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
title_full_unstemmed Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
title_short Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
title_sort identifying artemisinin resistance from parasite clearance half-life data with a simple shiny web application
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5439677/
https://www.ncbi.nlm.nih.gov/pubmed/28531230
http://dx.doi.org/10.1371/journal.pone.0177840
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