Differential drivers of intraspecific and interspecific competition during malaria-helminth co-infection
Bibliographic record
Abstract
Various host and parasite factors interact to determine the outcome of infection. We investigated the effects of initial infectious dose and co-infection with a red blood cell-limiting helminth on the within-host dynamics of murine malaria. Using a time-series approach to model the within-host “epidemiology” of malaria, we found that increasing initial dose reduced time to peak cell-to-cell parasite propagation, but also reduced its magnitude, while helminth co-infection delayed peak malaria propagation, except at the highest malaria doses. Using a mechanistic model of within-host dynamics, we identified dose-dependence in parameters describing host responses to malaria infection and uncovered a plausible explanation of the observed differences during co-infections: in co-infections, our model predicted a higher background death rate of RBCs combined with greater influx of new RBCs. Such interactions are key to understanding variation in disease severity, and could inform field studies of malaria, where co-infection and low doses are the norm.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".