Tracing zoonotic parasite infections throughout human evolution
Bibliographic record
Abstract
Abstract Parasites are useful pathogens to explore human–animal interactions because they have diverse life cycles that often rely on both as hosts. Moreover, some species are not host specific and are transmitted between animals and humans. Today most emerging infections are zoonoses. Here, we take a specific look at the emergence and re‐emergence of zoonotic parasites throughout hominin evolution and consider evolutionary, cultural, and ecological factors involved in this. We combine genetic studies focused on molecular phylogenetic reconstructions, most often using the ribosomal RNA gene unit and mitochondrial genes from modern parasites, archaeological evidence in the form of preserved parasite eggs and antigens in skeletal and mummified remains, and modern epidemiological data to explore parasite infections throughout hominin evolution. We point out the considerably ancient origins of some key zoonotic parasites and their long coevolutionary history with humans and discuss factors contributing to the presence of many zoonotic parasites in the past and today including dietary preferences, urbanization, waste disposal, and the population density of both humans and domesticated animals.
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 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) | 0.001 | 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 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".