IRUS Total

Mapping sulphadoxine-pyrimethamine-resistant Plasmodium falciparum malaria in infected humans and in parasite populations in Africa

File Description SizeFormat 
Supplementary information_SR_revised_third.docSupporting information704.5 kBMicrosoft WordView/Open
dhps540.csvSupporting information78.53 kBMicrosoft ExcelView/Open
dhps581.csvSupporting information32.8 kBMicrosoft ExcelView/Open
slide_convert_2_10_0_15.csvSupporting information28.05 kBMicrosoft ExcelView/Open
s41598-017-06708-9.pdfPublished version4.12 MBAdobe PDFView/Open
Title: Mapping sulphadoxine-pyrimethamine-resistant Plasmodium falciparum malaria in infected humans and in parasite populations in Africa
Authors: Okell, L
Griffin, JT
Roper, C
Item Type: Journal Article
Abstract: Intermittent preventive treatment (IPT) with sulphadoxine-pyrimethamine in vulnerable populations reduces malaria morbidity in Africa, but resistance mutations in the parasite dhps gene (combined with dhfr mutations) threaten its efficacy. We update a systematic review to map the prevalence of K540E and A581G mutations in 294 surveys of infected humans across Africa from 2004-present. Interpreting these data is complicated by multiclonal infections in humans, especially in high transmission areas. We extend statistical methods to estimate the frequency, i.e. the proportion of resistant clones in the parasite population at each location, and so standardise for varying transmission levels. Both K540E and A581G mutations increased in prevalence and frequency in 60% of areas after 2008, highlighting the need for ongoing surveillance. Resistance measures within countries were similar within 300 km, suggesting an appropriate spatial scale for surveillance. Spread of the mutations tended to accelerate once their prevalence exceeded 10% (prior to fixation). Frequencies of resistance in parasite populations are the same or lower than prevalence in humans, so more areas would be classified as likely to benefit from IPT if similar frequency thresholds were applied. We propose that the use of resistance frequencies as well as prevalence measures for policy decisions should be evaluated.
Issue Date: 7-Aug-2017
Date of Acceptance: 16-Jun-2017
URI: http://hdl.handle.net/10044/1/49344
DOI: https://dx.doi.org/10.1038/s41598-017-06708-9
ISSN: 2045-2322
Publisher: Nature Publishing Group
Journal / Book Title: Scientific Reports
Volume: 7
Copyright Statement: © The Author(s) 2017. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Cre- ative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not per- mitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Sponsor/Funder: The Royal Society
Funder's Grant Number: DH140134
Publication Status: Published
Article Number: 7389
Appears in Collections:School of Public Health