Malaria Infection and Gametocyte Carriage Rates in Preparation for Transmission Blocking Vaccine Trials in Bancoumana, Mali
Bibliographic record
Abstract
The epidemiological characterization of transmission reservoirs is a critical step in preparation for interventional trials for malaria elimination/eradication. Using cluster sampling and households/compounds as units of sampling, we recruited and followed monthly, from June 2011 to June 2012, 250 volunteers 3 months to 50 years of age in Bancoumana, Mali. In July 2012, only participants 5–35 years of age (N = 121) were reenrolled and followed for an additional year. Malaria infection prevalence was highest in October in both 2011 (21.5%, 50/233) and 2012 (38.2%, 26/68). During both years, malaria infection prevalence was highest in children 5–14 years of age (P = 0.01 and P = 0.02, respectively). The gametocyte carriage prevalence was highest in November 2011 (7.6%, 17/225) and in October 2012 (16.2%, 11/68). Gametocyte carriage rates by age did not significantly differ in 2011 and 2012. In Bancoumana, the asexual and sexual parasite carriage rates are relatively high and highly seasonal. Seasonal variation and age differences in parasite and gametocyte carriage provide essential knowledge for the design of transmission blocking assay and vaccine studies in the field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".