Oropouche fever: An emerging arbovirus disease from the Americas with possible oral manifestations
Bibliographic record
Abstract
Oropouche fever (OROV fever) is an emerging arbovirus disease caused by Oropouche virus (OROV). The virus was reported to have a limited circulation in Central and South America, but there is a real possibility of international spread in the near future. Considering the current outbreak of OROV fever in the Americas, the Pan American Health Organization/World Health Organization has already published one Epidemiological Alert and two Epidemiological Updates in 2024. From January to early October 2024, 10,275 cases were confirmed in nine American countries, including imported cases in the United States and Canada. Moreover, 30 imported cases were reported for the first time in three European countries. Knowledge about OROV fever is still limited. Like common arbovirus diseases, the main clinical manifestations include fever, headache, arthralgia, myalgia, bleeding and rash. Gingival bleeding has been reported, and oral mucosal lesions may be another possible manifestation. The disease is usually mild and self-limiting, but severe complications, death and vertical transmission can occur. This article reviews OROV fever, addressing possible oral manifestations as well as the potential contribution of the dental community to prompt diagnosis and management.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".