COVID-19 vaccine equity and the right to health for displaced Venezuelans in Latin America
Bibliographic record
Abstract
Given the magnitude of Venezuelan displacement in Latin America, there is a need to assess how migrants were, and will continue to be, addressed in COVID-19 vaccination policies. To explore migration status as a dimension of vaccine equity in Latin America and in relation to international human rights, we assessed national vaccination plans, peer-reviewed, and gray literature published between January 2020 and June 2021. Three key rights-related concerns were found to restrict the health rights of migrants in the region: 1) lack of prioritization of migrants in vaccine distribution; 2) onerous documentation requirements to be eligible for COVID-19 vaccination; and (3) how pervasive anti-migrant discrimination limited equitable health care access. While international human rights law prohibits against discrimination based on migration status, few countries analyzed realized their obligations to provide equal access to COVID-19 vaccines to non-citizens, including displaced Venezuelans. Especially for migrants and displaced people, effective and sustainable vaccination strategies for COVID-19 and future pandemics in Latin America must be guided not only by epidemiological risk but also seek to align with human rights obligations. To achieve this, States must also take special measures to facilitate vaccine access for communities facing systemic discrimination, exclusion, and marginalization.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".