Effectiveness of Vaccination: Hospital Admission and Length of Stay
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background COVID-19 vaccinations were first met with public hesitancy. There are some debates about the vaccines’ effectiveness in reducing hospital admissions or length of stay. Objective We aim to compare the effectiveness of different vaccine statuses and types with hospital admissions and length of stay. Methods Data related to hospital admissions, length of stay, the need for intensive care, and vaccination data were obtained from the Jordanian Ministry of Health. Results A total of 17,182 hospital admissions were recorded from February 2, 2021, the earliest date a vaccinated individual who has passed the 20-day mark on the first dose was admitted with relation to COVID-19, to August 15, 2021. The mean age admitted was 53 years. From all those who were admitted, the unvaccinated group was the majority in both overall admissions (93.7% with the length of stay of 6.9 days for older groups and 8.3 days for the younger) and intensive care unit admissions for both the older and younger age groups (91.23% and 93.3%, respectively), followed by those fully vaccinated (3.4% with the length of stay by vaccine type: Pfizer 4.9-6.1 with 115 admissions; AstraZeneca 10.8-5.1 with 26 admissions; Sinopharm 5.3-6.7 with 440 admissions; Sputnik 2-4 with 4 admissions) and those with only the first dose (2.5% with the length of stay by vaccine type: Pfizer 7.05-7.25 with 133 admissions; AstraZeneca 7.73-7.53 with 109 admissions; Sinopharm 6.5-7.9 with 253 admissions; Sputnik 4 with 1 admission). The time between the vaccination and admission was noticeably longer after the second dose of each vaccine compared to only the first dose with the exception of AstraZeneca (Pfizer 35.4-35.73 to 46.8-79.85; AstraZeneca 48.3-50.7 to 33.4-43.4; Sinopharm 22.65-24.86 to 54-62.9; Sputnik 28 to 99.5-101.5). Conclusions The study showed a lower admission and shorter stay at the hospital for those who are vaccinated, indicating the ability of vaccines to reduce the burden on the health care system.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it