Publication: Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
Issued Date
2017-05-01
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ISSN
19326203
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2-s2.0-85019895636
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Mahidol University
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SCOPUS
Bibliographic Citation
PLoS ONE. Vol.12, No.5 (2017)
Suggested Citation
Sai Thein Than Tun, Yoel Lubell, Arjen M. Dondorp, Tom Fieldman, Kyaw Myo Tun, Olivier Celhay, Xin Hui Chan, Sompob Saralamba, Lisa J. White Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application. PLoS ONE. Vol.12, No.5 (2017). doi:10.1371/journal.pone.0177840 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/41440
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Title
Identifying artemisinin resistance from parasite clearance half-life data with a simple Shiny web application
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.