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Record W4401234138 · doi:10.1093/infdis/jiae373

A Countrywide Survey of <i>hrp2/3</i> Deletions and <i>kelch13</i> Mutations Co-occurrence in Ethiopia

2024· article· en· W4401234138 on OpenAlexafffund
Claire Kamaliddin, Jack Burke-Gaffney, Shoaib Ashraf, Daniel Castañeda-Mogollón, Aderaw Adamu, Bacha Mekonen Tefa, Ayesha Wijesinghe, Enaara Pussegoda, Sindew Mekasha Feleke, Dylan R. Pillai

Bibliographic record

VenueThe Journal of Infectious Diseases · 2024
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
FundersBentham-Moxon TrustGrand Challenges CanadaUniversity of Calgary
KeywordsMalariaGeneticsBiologyMutationPlasmodium falciparumPopulationDNA sequencingVirologyGeneMedicineEnvironmental healthImmunology

Abstract

fetched live from OpenAlex

Malaria elimination relies on detection of Plasmodium falciparum histidine-rich proteins 2/3 (HRP2/3) through rapid diagnostic tests (RDTs) and treatment with artemisinin combination therapies (ACTs). Data from the Horn of Africa suggest increasing hrp2/3 gene deletions and ACT partial resistance kelch13 (k13) mutations. To assess this, 233 samples collected during a national survey from 7 regions of Ethiopia were studied for hrp2/3 deletions with droplet digital polymerase chain reaction (ddPCR) and k13 mutations with DNA sequencing. Approximately 22% of the study population harbored complete hrp2/3 deletions by ddPCR. Thirty-two of 44 of k13 single-nucleotide polymorphisms identified were R622I associated with ACT partial resistance. Both hrp2/3 deletions and k13 mutations associated with ACT partial resistance appear to be co-occurring, especially in Northwest Ethiopia. Ongoing national surveillance relying on accurate laboratory methods are required to elaborate the genetic diversity of P. falciparum.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.321
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2024
Admission routes2
Has abstractyes

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