Evidence map›Paper›PMID 23823758›Full record

ArticlePloS one2013

A Large Plasmodium vivax Reservoir and Little Population Structure in the South Pacific.

Cristian Koepfli, Lincoln Timinao, Tiago Antao, Alyssa E Barry, Peter Siba, Ivo Mueller, Ingrid Felger

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.8field-weighted citation impact, top 2% of its field
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

41 citing papers in PubMed, 72 citations in OpenAlex.

  1. UnderstandingiScience · 2026
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  3. Population genetics ofFrontiers in genetics · 2025
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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

7 authors at 5 institutions in 5 countries.

Cristian KoepfliSwiss Tropical and Public Health Institute, Basel, Switzerland ; University of Basel, Basel, Switzerland ; Infection & Immunity Division, Walter & Eliza Hall Institute, Parkville, Victoria, Australia.
Lincoln Timinao
Tiago Antao
Alyssa E Barry
Peter Siba
Ivo Mueller
Ingrid Felger
Papua New Guinea Institute of Medical Research · PGUniversity of Basel · CHUniversity of Cambridge · GBUniversity of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe importance of Plasmodium vivax in malaria elimination is increasingly being recognized, yet little is known about its population size and population genetic structure in the South Pacific, an area that is the focus of intensified malaria control.

methodsWe have genotyped 13 microsatellite markers in 295 P. vivax isolates from four geographically distinct sites in Papua New Guinea (PNG) and one site from Solomon Islands, representing different transmission intensities.

resultsDiversity was very high with expected heterozygosity values ranging from 0.62 to 0.98 for the different markers. Effective population size was high (12'872 to 19'533 per site). In PNG population structuring was limited with moderate levels of genetic differentiation. F ST values (adjusted for high diversity of markers) were 0.14-0.15. Slightly higher levels were observed between PNG populations and Solomon Islands (F ST = 0.16).

conclusionsLow levels of population structure despite geographical barriers to transmission are in sharp contrast to results from regions of low P. vivax endemicity. Prior to intensification of malaria control programs in the study area, parasite diversity and effective population size remained high.

Indexed as

Disease ReservoirsAnimalsGenes, ProtozoanGenetic MarkersGenotypeHumansMalaria, VivaxMelanesiaMicrosatellite RepeatsPapua New GuineaPlasmodium vivaxPolymerase Chain ReactionGenetic Markers

Identifiers

PMID23823758
PMCPMC3688846
OpenAlexW2135178447

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.