Evidence map›Paper›PMID 28498860›Full record

ArticlePloS one2017

Genetic micro-epidemiology of malaria in Papua Indonesia: Extensive P. vivax diversity and a distinct subpopulation of asymptomatic P. falciparum infections.

Zuleima Pava, Rintis Noviyanti, Irene Handayuni, Hidayat Trimarsanto, Leily Trianty, Faustina H Burdam, Enny Kenangalem, Retno A S Utami, Yusrifar K Tirta, Farah Coutrier and 4 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  10. Malaria Epidemiology at the Clone Level.Trends in parasitology · 2017
    Review
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Zuleima PavaGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Rintis NoviyantiMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Irene HandayuniGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Hidayat TrimarsantoBioinformatics Laboratory, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Leily TriantyMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Faustina H BurdamMimika District Health Authority, Timika, Papua, Indonesia.
Enny KenangalemMimika District Health Authority, Timika, Papua, Indonesia.
Retno A S UtamiMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Yusrifar K TirtaMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Farah CoutrierMalaria Pathogenesis Unit, Eijkman Institute for Molecular Biology, Jakarta, Indonesia.
Jeanne R PoespoprodjoMimika District Health Authority, Timika, Papua, Indonesia.
Ric N PriceGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Jutta MarfurtGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Sarah AuburnGlobal and Tropical Health Division, Menzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.ORCID http://orcid.org/0000-0002-4638-536X

Funding

Wellcome Trust 091625Wellcome Trust 200909/Z/16/Z
6 · The paper itself

Abstract

backgroundGenetic analyses of Plasmodium have potential to inform on transmission dynamics, but few studies have evaluated this on a local spatial scale. We used microsatellite genotyping to characterise the micro-epidemiology of P. vivax and P. falciparum diversity to inform malaria control strategies in Timika, Papua Indonesia.

methodsGenotyping was undertaken on 713 sympatric P. falciparum and P. vivax isolates from a cross-sectional household survey and clinical studies conducted in Timika. Standard population genetic measures were applied, and the data was compared to published data from Kalimantan, Bangka, Sumba and West Timor.

resultsHigher diversity (HE = 0.847 vs 0.625; p = 0.017) and polyclonality (46.2% vs 16.5%, p<0.001) were observed in P. vivax versus P. falciparum. Distinct P. falciparum substructure was observed, with two subpopulations, K1 and K2. K1 was comprised solely of asymptomatic infections and displayed greater relatedness to isolates from Sumba than to K2, possibly reflecting imported infections.

conclusionsThe results demonstrate the greater refractoriness of P. vivax versus P. falciparum to control measures, and risk of distinct parasite subpopulations persisting in the community undetected by passive surveillance. These findings highlight the need for complimentary new surveillance strategies to identify transmission patterns that cannot be detected with traditional malariometric methods.

Indexed as

AdolescentAsymptomatic InfectionsChildChild, PreschoolCross-Sectional StudiesFemaleGenotypeHumansIndonesiaLinkage DisequilibriumMalaria, FalciparumMalaria, VivaxMaleMicrosatellite RepeatsMolecular EpidemiologyPlasmodium falciparum

Identifiers

PMID28498860
PMCPMC5428948

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.