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Clinical and molecular surveillance of drug resistant vivax malaria in Myanmar (2009–2016)

Overview of attention for article published in Malaria Journal, March 2017
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Title
Clinical and molecular surveillance of drug resistant vivax malaria in Myanmar (2009–2016)
Published in
Malaria Journal, March 2017
DOI 10.1186/s12936-017-1770-7
Pubmed ID
Authors

Myat Htut Nyunt, Jin-Hee Han, Bo Wang, Khin Myo Aye, Kyin Hla Aye, Seong-Kyun Lee, Ye Htut, Myat Phone Kyaw, Kay Thwe Han, Eun-Taek Han

Abstract

One of the major challenges for control and elimination of malaria is ongoing spread and emergence of drug resistance. While epidemiology and surveillance of the drug resistance in falciparum malaria is being explored globally, there are few studies on drug resistance vivax malaria. To assess the spread of drug-resistant vivax malaria in Myanmar, a multisite, prospective, longitudinal study with retrospective analysis of previous therapeutic efficacy studies, was conducted. A total of 906 from nine study sites were included in retrospective analysis and 208 from three study sites in prospective study. Uncomplicated vivax mono-infected patients were recruited and monitored with longitudinal follow-up until day 28 after treatment with chloroquine. Amplification and sequence analysis of molecular markers, such as mutations in pvcrt-O, pvmdr1, pvdhps and pvdhfr, were done in day-0 samples in prospective study. Clinical failure cases were found only in Kawthaung, southern Myanmar and western Myanmar sites within 2009-2016. Chloroquine resistance markers, pvcrt-O 'AAG' insertion and pvmdr1 mutation (Y976F) showed higher mutant rate in southern and central Myanmar than western site: 66.7, 72.7 vs 48.3% and 26.7, 17.0 vs 1.7%, respectively. A similar pattern of significantly higher mutant rate of antifolate resistance markers, pvdhps (S382A, K512M, A553G) and pvdhfr (F57L/I, S58R, T61M, S117T/N) were noted. Although clinical failure rate was low, widespread distribution of chloroquine and antifolate resistance molecular makers alert to the emergence and spread of drug resistance vivax malaria in Myanmar. Proper strategy and action plan to eliminate and contain the resistant strain strengthened together with clinical and molecular surveillance on drug resistance vivax is recommended.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Student > Master 8 15%
Student > Bachelor 5 10%
Other 4 8%
Researcher 4 8%
Other 3 6%
Unknown 17 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 17%
Medicine and Dentistry 7 13%
Agricultural and Biological Sciences 4 8%
Nursing and Health Professions 2 4%
Psychology 2 4%
Other 5 10%
Unknown 23 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2017.
All research outputs
#13,544,912
of 22,959,818 outputs
Outputs from Malaria Journal
#3,542
of 5,587 outputs
Outputs of similar age
#159,660
of 308,425 outputs
Outputs of similar age from Malaria Journal
#81
of 128 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,587 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.