Analysis of the epidemiological and epizootic situation of alveolar echinococcosis in the world
Bibliographic record
Abstract
This review article presents literature data on the distribution of alveolar echinococcosis cases across the world over the past 30 years (1993-2023), statistical data from the WOAH for the past 5 years (2020-2024), and the research results reported by domestic scientists. Alveolar echinococcosis, also known as multilocular echinococcosis, is one of the most dangerous zoonotic parasitic infections. The causative agent, the cestode Echinococcus multilocularis, infects carnivorous animals, small rodents, and humans. Humans, as accidental intermediate hosts, are at high risk for severe complications, including liver and other organ damage. This infection has been recorded in Canada, the USA, Germany, France, Switzerland, Austria, Belgium, the Netherlands, the Czech Republic, Slovakia, Sweden, Denmark, the UK, China, India, Pakistan, Nepal, Bhutan, Iran, Iraq, Mongolia, Lithuania, Latvia, Estonia, Russia, Belarus, the Kyrgyz Republic, and the Republic of Kazakhstan. The World Health Organization classifies this infection as one of the 17 neglected diseases requiring control and elimination by 2050.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".