Chikungunya Outbreak in the Caribbean 2013-2014
Bibliographic record
Abstract
BACKGROUND: In December 2013, the local transmission of the mosquito-borne chikungunya virus was confirmed for the first time in several Caribbean islands. OBJECTIVE: To outline what is known to date on the outbreak of chikungunya in the Caribbean, and identify what is being done to detect and limit this infection. RESULTS: PAHO/WHO has recommended that chikungunya surveillance be set up in countries where there is existing dengue surveillance. Prospective travellers should be advised to take personal protective measures to avoid mosquito bites to decrease risk of exposure. Patients typically present with fever and arthralgia. If there is a positive travel history, serology for both chikungunya and dengue virus infection should be considered after consultation with local public health officials. Treatment is supportive. Transmission in Canada is not expected. CONCLUSION: Clinicians and public health professionals in Canada should be on the alert for sporadic cases of chikungunya virus in patients who present with fever and arthralgias after a stay in an affected Caribbean island.
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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".