Testing an experimental vaccine during a public health emergency: Lessons from a Peruvian case
Bibliographic record
Abstract
The Peruvian Government searched for a vaccine as a response to COVID-19. A clinical trial evaluating an inactivated SARS-CoV-2 vaccine was approved. A national news program revealed that Peru's president had received the vaccine outside the clinical trial, generating a national protest. The Peruvian National Academy of Medicine created a commission to identify improper procedures and provide guidance on how to prevent a similar case in the future. Commission members reviewed all publicly available documents and information sources and generated a final report. There were 6 ethical principles violations: 1) 3200 vaccine doses were used to vaccinate individuals outside the clinical trial; 2) prominent individuals were vaccinated outside of the clinical trial; 3) study conduct was monitored by a contract research organization with a conflict of interest; 4) an additional study was conducted with the vaccine without an approved protocol; 5) the placebo-controlled trial was continued when an approved vaccine was available; and 6) results of the clinical trial were not released. There were 5 regulatory procedures ignored: 1) no clinical trial supervision by a high-quality clinical monitoring agency outside Peru; 2) a university acting as a sponsor of a vaccine produced by a foreign company; 3) expedited reviews and approvals; 4) lack of adequate supervision by local regulatory bodies and the study contract research organization (CRO); and 5) no input from the Data Safety Monitoring Board. The COVID-19 health emergency created an environment where existing regulatory and ethical principles were circumvented under political pressure. Regulatory bodies and agencies should inform countries of the dangers of conducting clinical trials during a public health emergency and proper ethical and regulatory procedures should be followed. • Testing an experimental SARS-CoV-2 vaccine, as a response to the COVID-19 in Peru, included vaccinating individuals not participating in the vaccine trial. • The Peruvian Academy of Medicine created a commission to identify what was not done properly and recommend how to prevent a similar case in the future. • Six ethical principles were violated, and 5 regulatory procedures were not done properly. • Testing an experimental vaccine during a sanitary emergency, under high political pressure, creates and environment where existing regulatory procedures and ethical principles can be circumvented.
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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 | 0.020 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.016 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".