Contribution of Environment Sample-Based Detection to Ebola Outbreak Management
Bibliographic record
Abstract
Detection of chains of transmission is critical to interrupt Ebola virus (EBOV) outbreaks. For >25 years, quantitative reverse transcription polymerase chain reaction performed on biological fluids has been the reference standard for EBOV detection and identification. In the current study, we investigated the use of environmental sampling to detect EBOV shed from probable case patients buried without the collection of bodily fluids. During the 2012 Bundibugyo virus (BDBV) outbreak in the Democratic Republic of the Congo, environmental samples were screened for BDBV RNA by means of real-time polymerase chain reaction. Low levels of BDBV genomic RNA were detected in a hospital and in a house. Detection of BDBV RNA in the house led to the identification of the last chain of transmission still active, which resulted in the safe burial of the person with the last laboratory-confirmed case of this outbreak. Overall, environmental sampling can fill specific gaps to help confirm EBOV positivity and therefore be of value in outbreak 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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".