WHO O2CoV2: oxygen requirements and respiratory support in patients with COVID-19 in low-and-middle income countries—protocol for a multicountry, prospective, observational cohort study
Bibliographic record
Abstract
INTRODUCTION: SARS-CoV-2 has been identified as the cause of the disease officially named COVID-19, primarily a respiratory illness. COVID-19 was characterised as a pandemic on 11 March 2020. It has been estimated that approximately 20% of people with COVID-19 require oxygen therapy. Oxygen has been listed on the WHO Model List of Essential Medicines List and Essential Medicines List for Children for almost two decades. The COVID-19 pandemic has highlighted, more than ever, the acute need for scale-up of oxygen therapy. Detailed data on the use of oxygen therapy in low-and-middle income countries at the patient and facility level are needed to target interventions better globally. METHODS AND ANALYSIS: We aim to describe the requirements and use of oxygen at the facility and patient level of approximately 4500 patients with COVID-19 in 30 countries. Our objectives are specifically to characterise type and duration of different modalities of oxygen therapy delivered to patients; describe demographics and outcomes of hospitalised patients with COVID-19; and describe facility-level oxygen production and support. Primary analyses will be descriptive in nature. Respiratory support transitions will be described in Sankey plots, and Kaplan-Meier models will be used to estimate probability of each transition. A multistate model will be used to study the course of hospital stay of the study population, evaluating transitions of escalating respiratory support transitions to the absorbing states. ETHICS AND DISSEMINATION: WHO Ad Hoc COVID-19 Research Ethics Review Committee (ERC) has approved this global protocol. When this protocol is adopted at specific country sites, national ERCs may make require adjustments in accordance with their respective national research ethics guidelines. Dissemination of this protocol and global findings will be open access through peer-reviewed scientific journals, study website, press and online media. TRIAL REGISTRATION NUMBER: NCT04918875.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".