Protection of staff and families during COVID-19 pandemic: experience from a research institute in Bangladesh
Bibliographic record
Abstract
International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), which contains the world's largest diarrheal disease hospital, established a service centre, including testing facilities, isolation unit, out-patient department, in-patient ward, and intensive care unit during COVID-19 pandemic. When the management of COVID-19 was challenging nationwide, icddr,b established this facility with the goal to provide COVID-related services to the staff and their relatives amidst the pandemic. Data related to this analysis were collected from April 2020 to December 2021. 1399 patients received treatment under this facility. Among them, 351 patients were treated at the out-patient facility, 98 at the isolation, and 197 at the in-patient ward. Among the admitted patients, survival was 86.29% (n = 170/197). Among the suspected patients, 17% (n = 103/606) were COVID-positive. Setting up an immediate COVID-19 management facility during the pandemic was challenging. It can be an example of how an organisation can adapt to any emergency and act accordingly.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".