Evidence map›Paper›PMID 41408638›Full record

ArticleMalaria journal2025

Assessing the impact of temporal changes in transmission on Plasmodium falciparum strains in Asembo, western Kenya (1996-2017) using within-host metrics via 24-SNP barcodes.

Gary Vestal, Zhiyong Zhou, Sheila Sergent, Mili Sheth, Justin Lee, Kephas Otieno, Simon Kariuki, Andrew Hill, Feiko O Ter Kuile, Kim A Lindblade and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Gary VestalDepartment of Computer Science, Emory University, Atlanta, USA. gary.kenneth.vestal@emory.edu.
Zhiyong ZhouDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA. zaz6@cdc.gov.
Sheila SergentDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Mili ShethBiotechnology Core Facility Branch, Division of Core Laboratory Services and Response, Office of Laboratory Systems and Response, CDC, Atlanta, USA.
Justin LeeBiotechnology Core Facility Branch, Division of Core Laboratory Services and Response, Office of Laboratory Systems and Response, CDC, Atlanta, USA.
Kephas OtienoKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Simon KariukiKenya Medical Research Institute, Centre for Global Health Research, Kisumu, Kenya.
Andrew HillDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Feiko O Ter KuileDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Kim A LindbladeDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Laurence SlutskerDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Mary J HamelDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Meghna DesaiDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
John E GimnigDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Aaron M SamuelsDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA.
Ymir VigfussonDepartment of Computer Science, Emory University, Atlanta, USA.
Ya Ping ShiDivision of Parasitic Diseases and Malaria, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, USA. kylershi013@gmail.com.

Funding

AMD fund from the CDC 132
6 · The paper itself

Abstract

backgroundGenomic surveillance of malaria parasites offers important insights into the impact of interventions on transmission reduction and changes in pathogen populations over time, especially in low-transmission areas. However, such surveillance faces challenges in high-transmission regions. Detecting temporal changes in transmission in high-transmission settings requires analytical methods tailored to high-diversity parasite populations that can differentiate between superinfection (infection through multiple mosquito bites, each bearing an unrelated strain) and co-transmission (infection through a single mosquito bite bearing more than one strain).

methodsThis study applied a previously developed novel Next Generation Sequencing (NGS) 24-SNP barcode assay for genotyping smear-positive samples obtained from a 2017 cross-sectional survey in the Asembo area, western Kenya, building on previous work on samples collected in the surveys conducted in 1996, 2001, 2007, and 2012. Algorithms StrainRecon and STIM were used to identify parasite strains within a sample and measure multiplicity of infection (MOI). Population genetic metrics of F

resultsThere was no significant differentiation in F

conclusionThe within-host MOI, IBD-based strain-relatedness, and their mathematical relationship (slope) provide useful metrics for understanding the transmission dynamics in our study. Notably, this study presents the first simple slope-based method using 24-SNP barcodes to distinguish superinfection from co-transmission in a high transmission area, warranting further evaluation of the novel tool in other high transmission settings.

Indexed as

DNA Barcoding, TaxonomicMalaria, FalciparumPlasmodium falciparumPolymorphism, Single NucleotideCross-Sectional StudiesHigh-Throughput Nucleotide SequencingHumansKenya

Identifiers

PMID41408638
PMCPMC12829202

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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.