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Record W4412164878 · doi:10.1186/s13071-025-06921-w

Characteristics of malaria vector populations and transmission before a randomised controlled trial assessing the efficacy of next-generation insecticide-treated nets in Côte d’Ivoire

2025· article· en· W4412164878 on OpenAlexaff
Ludovic Phamien Ahoua Alou, Alphonsine A. Koffi, Edouard Dangbénon, Soromane Camara, Joseph R. Biggs, Marius Gonse Zoh, Serge-Brice Assi, Colette Sih, Benoit Talbot, Manisha A. Kulkarni, Louisa A. Messenger, Natacha Protopopoff, Jackie Cook, Raphael N'Guessan

Bibliographic record

VenueParasites & Vectors · 2025
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of Ottawa
FundersGlobal Fund to Fight AIDS, Tuberculosis and Malaria
KeywordsCote d ivoireMalariaParasitologyVector (molecular biology)Tropical medicineBiologyTransmission (telecommunications)Veterinary medicineMedicineImmunologyHumanitiesZoologyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: The World Health Organization (WHO) recommends mass distribution of insecticide-treated nets (ITNs) to prevent malaria transmission. Unfortunately, resistance to pyrethroids affects the efficacy of standard ITNs. To overcome this resistance and continue to protect the population, the WHO has recommended new types of ITNs that combine a pyrethroid insecticide with either a synergist (PBO) or a second insecticide, such as chlorfenapyr. This study examines the baseline characteristics of malaria vectors prior to the distribution of three types of insecticide-treated nets as part of a three-arm randomised controlled trial: Interceptor G2 (pyrethroid-chlorfenapyr), VEERALIN (pyrethroid-PBO), and MAGNet (pyrethroid only). METHODS: The study was carried out in 40 villages (grouped into 33 clusters) of Tiébissou district in central Côte d'Ivoire. To assess biting rate and biting behaviour, human landing catches were conducted hourly indoors and outdoors in six randomly selected houses in each cluster, starting at 18:00 and continuing until 08:00 the next morning. Adult mosquitoes collected were morphologically identified, and a subset of Anopheles gambiae sensu lato (s.l.) and An. funestus s.l. were speciated by quantitative PCR (qPCR). Plasmodium sporozoite infections were detected by qPCR to estimate infection rates. The entomological inoculation rate was calculated as the product of the mosquito biting rate and the sporozoite infection rate. RESULTS: Among the 10,698 mosquitoes collected, An. gambiae s.l. was the predominant species, accounting for 62.5% (n = 6683) of the catch, followed by An. funestus s.s., which accounted for 19.8% (n = 2120). Of the sub-sample of An. gambiae s.l. processed by PCR, 79.0% (n = 1291/1635) were An. coluzzii and the remaining were Anopheles gambiae s.s. Malaria vectors were highly aggressive, with an average of 14.8 bites/person/night for An. coluzzii, 2.0 b/p/n for An. gambiae s.s. and 5.4 b/p/n for An. funestus, representing an overall average of 22.2 b/p/n (95% CI 17.2-27.2 b/p/n). No significant difference was found in biting activity between indoor and outdoor environments (Z = -0.25, P = 0.803). Plasmodium sporozoite infection rate was 2.4% (95% CI 1.3-3.6%) for An. coluzzii, 1.5% (95% CI 0.3-2.6%) for An. gambiae s.s. and 2.7% (95% CI 1.2-4.3%) for An. funestus. The estimated overall entomological inoculation rate was 0.4 infected b/p/n (95% CI 0.3-0.6) and varied between 0.0 and 0.2 infective bites/person/night according to species. There was no difference observed in entomological infection rate (EIR) between capture locations (indoors versus outdoors; Z = 1.521, P = 0.128). CONCLUSIONS: This study shows that An. coluzzii and An. funestus were the main malaria vectors and showed similar biting patterns both indoors and outdoors. Anopheles funestus was found in high density in a limited number of villages. Malaria transmission was high despite universal distribution of pyrethroid-ITN in the district.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
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 score0.291
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.033
GPT teacher head0.336
Teacher spread0.303 · 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

Labeled directly by 2 models reading the full record.

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

Citations3
Published2025
Admission routes1
Has abstractyes

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