Risk Assessment of Enterovirus D68 in Taiwan
Bibliographic record
Abstract
Enterovirus D68 (EV-D68) was associated with a widespread outbreak of severe respiratory disease since August 2014 in the US and acute flaccid myelitis during the 2014 outbreak. Some regions in Canada and European countries have also reported sporadic cases of laboratory-confirmed EV-D68 infections. Frequent travelling between the US, Europe and Taiwan posed a threat to Taiwan during enterovirus season, which triggered the risk assessment on EV-D68. We estimated the probability and population-level impact of EV-D68 infections in Taiwan by referring to the risk assessment reports on EV-D68, the international risk assessment framework and algorithm, viral characteristics, global epidemiology, susceptibility of the population and other information currently available. To date, the available information and scientific evidence indicated that the likelihood of any sporadic cases and clusters due to EV-D68 in Taiwan is medium, while the risk that sporadic case of severe respiratory illness and acute flaccid myelitis detected is due to EV-D68 is very low. EV-D68 detection and surveillance in Taiwan should be considered and enhanced in persons with severe unexplained acute respiratory disease or unexplained neurological symptoms. We recommended that healthcare professionals should be vigilant about preventing the spread of EV-D68, perform wash hands correctly and maintain a hygienic environment during enterovirus seasons.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".