ArticleThe American journal of tropical medicine and hygiene2021
Improved Detectability of Plasmodium falciparum Clones with Repeated Sampling in Incident and Chronic Infections in Burkina Faso.
Article in The American journal of tropical medicine and hygiene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 9 citations in OpenAlex.
- Persistent and multiclonal malaria parasite dynamics despite extended artemether-lumefantrine treatment in children.Nature communications · 2024Trial
- From multiplicity of infection to force of infection in sparsely sampled high-transmissioneLife · 2026Article
- Bridging the Gap from Molecular Surveillance to Programmatic Decisions for Malaria Control and Elimination.The American journal of tropical medicine and hygiene · 2025Review
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We evaluated the detectability of Plasmodium falciparum clones when assessed on 3 consecutive days in incident and chronic infections in naturally exposed children living in an area of intense malaria transmission in Burkina Faso. The median number of clones by merozoite surface protein 2 (MSP2) genotyping was 3 (interquartile range [IQR] 2-5) in incident infections compared with 6 (IQR 4-8) in chronic infections (P < 0.0001). When all clones detected on days 1-3 were considered as true complexity of infection, sampling on day 1 detected only 69.4% (109/157) or 68.3% (228/334) of all clones in incident and chronic infections, respectively. Our findings demonstrate that a large proportion of clones are missed by single time-point sampling. In addition, because of the high complexity of infection early in incident infections, our data suggest many infections may be caused by genetically complex inocula.
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