Evidence map›Paper›PMID 26395166›Full record

ArticleMalaria journal2015

Longitudinal analysis of Plasmodium falciparum genetic variation in Turbo, Colombia: implications for malaria control and elimination.

Stella M Chenet, Jesse E Taylor, Silvia Blair, Lina Zuluaga, Ananias A Escalante

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
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  6. Genotyping and CharacterizingTropical medicine and infectious disease · 2024
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  7. Molecular epidemiology of continuedFrontiers in tropical diseases · 2023
    Article
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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

5 authors at 3 institutions in 2 countries.

Stella M ChenetSchool of Life Sciences, Arizona State University, Tempe, AZ, USA. schenet@asu.edu.
Jesse E TaylorSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA. jetaylo6@asu.edu.
Silvia BlairMalaria Group, Universidad de Antioquia, Medellín, Colombia. silviablairt@gmail.com.
Lina ZuluagaMalaria Group, Universidad de Antioquia, Medellín, Colombia. linazulu83@gmail.com.
Ananias A EscalanteInstitute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA. Ananias.Escalante@temple.edu.
Arizona State University · USUniversidad de Antioquia · COTemple University · US

Funding

Vector Biology Research and Integrated Vector Management For Malaria ControlU19AI089702 · NIAID · CAUCASECO SCIENTIFIC RESEARCH CENTER · PI RAMIREZ, OSCAR · 2010 to 2016
$11.5M
Landscape Molecular Epidemiology for Malaria EliminationR56AI109416 · NIAID · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI TAYLOR, JESSE · 2014 to 2014
$276k
NIAID NIH HHS 1U19AI089702NIAID NIH HHS R56 AI109416NIAID NIH HHS R56AI109416NIAID NIH HHS U19 AI089702
6 · The paper itself

Abstract

backgroundMalaria programmes estimate changes in prevalence to evaluate their efficacy. In this study, parasite genetic data was used to explore how the demography of the parasite population can inform about the processes driving variation in prevalence. In particular, how changes in treatment and population movement have affected malaria prevalence in an area with seasonal malaria.

methodsSamples of Plasmodium falciparum collected over 8 years from a population in Turbo, Colombia were genotyped at nine microsatellite loci and three drug-resistance loci. These data were analysed using several population genetic methods to detect changes in parasite genetic diversity and population structure. In addition, a coalescent-based method was used to estimate substitution rates at the microsatellite loci.

resultsThe estimated mean microsatellite substitution rates varied between 5.35 × 10(-3) and 3.77 × 10(-2) substitutions/locus/month. Cluster analysis identified six distinct parasite clusters, five of which persisted for the full duration of the study. However, the frequencies of the clusters varied significantly between years, consistent with a small effective population size.

conclusionsMalaria control programmes can detect re-introductions and changes in transmission using rapidly evolving microsatellite loci. In this population, the steadily decreasing diversity and the relatively constant effective population size suggest that an increase in malaria prevalence from 2004 to 2007 was primarily driven by local rather than imported cases.

Indexed as

Genetic VariationGenotypeAdolescentAdultAgedAged, 80 and overAnimalsChildChild, PreschoolColombiaDrug ResistanceFemaleHumansInfantLongitudinal StudiesMalaria, Falciparum

Identifiers

PMID26395166
PMCPMC4578328
OpenAlexW2149542918

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.