Tropics, trophics and taxonomy: the determinants of parasite‐associated host mortality
Bibliographic record
Abstract
Empirical studies often reveal deleterious effects of parasites on host survival, but the ecological and environmental processes modulating parasite‐associated host mortality are not well understood. We conducted meta‐analysis of experimental studies assessing parasite‐associated mortality (n = 52) to evaluate broad‐scale patterns in host mortality risk relative to host or parasite taxon, parasite life cycle, or local environmental conditions. Overall, likelihood of host mortality was ∼2.6 times higher among infected individuals when compared with hosts that either lacked parasites or had experimentally‐reduced parasite burdens. Parasites with complex life cycles reliant on predation‐mediated transmission generally were associated with higher mortality risk than those exploiting other transmission strategies. We also detected a negative relationship between parasite‐associated host mortality and latitude; host mortality risk declined by ∼2.6% with each degree increase in latitude. This result indicated the likely importance of abiotic factors in determining parasite effects. Host taxonomy further influenced parasite‐associated mortality risk, with amphibian, fish, and mollusc hosts generally having higher hazard than arthropod, mammal, and bird hosts. Our results suggest patterns that conform to the predicted link between host mortality and parasite transmissibility, and pathogenicity. The relationship between host mortality and latitude in particular may portend marked shifts in host–parasite relationships pursuant to ongoing and projected global climate change.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".