Autochthonous <i>Angiostrongylus vasorum</i> in Finland
Bibliographic record
Abstract
Angiostrongylus vasorum has spread farther north in Europe. In this study, two autochthonous findings from dogs from Finland are described: in February 2014, the infection was diagnosed in a 10‐month‐old labrador retriever, and in February 2017, in a three‐year‐old French bulldog. These diagnoses were based on direct detection of the larvae from faeces of the dogs. The dogs had no history of travel to or import from abroad; the first lived in Southern Finland and the other in Western Finland, about 150 km apart. The dogs had no clinical signs attributable to angiostrongylosis. An online questionnaire was used to survey the extent to which veterinarians in Finland have self‐reportedly observed canine A vasorum infections. A total of 38 veterinarians authorised to work in Finland answered the questionnaire in December 2017, and 9 (24%) of them reported having seen one or more dogs with A vasorum infection in Finland. The results suggest that at least five individual dogs with A vasorum infection would have been seen in Finland, three of which had an apparently autochthonous infection. While the geographical distribution of A vasorum in Finland remains largely unknown, findings have started to appear from domestic dogs. It remains possible that some veterinarians could have misdiagnosed, for example, Crenosoma vulpis larvae as those of A vasorum , and the findings without confirmation using antigen test could be due to coprophagy and passage of ingested larvae; however, this does not change the main conclusion that can be made: A vasorum is already multifocally present in Finland. Increasing awareness about A vasorum is important in areas where it is emerging and spreading.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".