Effect of the first year of <scp>COVID</scp>‐19 pandemic on the collection and use of blood components in Colombia monitored through the national haemovigilance system
Bibliographic record
Abstract
OBJECTIVE: This work aimed to establish the effects of the COVID-19 pandemic on blood collection and blood product usage at the end of the first year. BACKGROUND: The arrival of SARS-CoV-2 to Colombia on March 6, 2020, triggered closure of borders and mandatory lockdown from March 23, 2020. METHODS/MATERIALS: The Colombian National Institute of Health administers the National database of confirmed cases of SARS-CoV-2 and the National Haemovigilance System. We examined positive SARS-CoV-2 cases identified between March 6, 2020, and March 6, 2021, using positive RT-PCR testing (72.8%) or reactive antigen (27.2%). We also analysed accepted and deferred donors' information provided by 100% of blood banks and transfused patients notified by 83% of health care facilities nationwide, between March 1, 2019, to February 28, 2021. RESULTS: Colombia registered 2 273 245 SARS-CoV-2 cases. From these, 60 412 people died from COVID-19 (2.7%) and 2 172 418 individuals recovered (95.6%). There were 11 659 216 SARS-CoV-2 processed samples nationwide. People between the ages of 20 and 39 years concentrated 44.4% of the SARS-CoV-2 cases. There were 773 569 blood donations, mainly from a 20-39-year-old population (60.5%). The pandemic caused a reduction of 155 393 blood donations (16.7%) and 51 823 total deferrals (33.7%). An 18.4% drop in volunteer donors and a 37.3% increase in donations from family/replacements members were observed. There were 399 453 transfused patients and 1 179 895 blood components administered (-8.7% and - 13.9% compared to March 2019-February 2020). CONCLUSION: Mandatory lockdowns in Colombia decreased blood collection and usage, resulting in a reduction of blood components transfused to individual patients.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".