Summary of WHO infection prevention and control guideline for Ebola and Marburg disease: a call for evidence based practice
Bibliographic record
Abstract
Baller 1 , on behalf of the Guideline Development Group Outbreaks of Ebola and Marburg disease have continued to occur since the Zaire ebolavirus outbreak in West Africa 2014-16.In response, the World Health Organisation (WHO) published a new infection prevention and control (IPC) guideline for both diseases in August 2023, 1 which replaces those issued in 2014 and 2016. 2 -4 This article summarises the process involved in developing the updated guideline and includes an infographic (fig 1) to highlight key IPC recommendations from the guideline, following the patient care pathway from the community to a healthcare facility to discharge.The full guideline is available as a downloadable PDF on both the WHO website (Infection prevention and control guideline for Ebola and Marburg disease, August 2023, who.int) and the web based MAGICapp platform.
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 | 0.018 | 0.055 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.007 | 0.002 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.011 | 0.009 |
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".