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Record W4220958554 · doi:10.1016/s2214-109x(22)00148-6

Access to COVID-19 vaccination for displaced Venezuelans in Latin America: a rapid scoping review

2022· article· en· W4220958554 on OpenAlexaffabout

Bibliographic record

VenueThe Lancet Global Health · 2022
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsPublic Health OntarioUniversity of Toronto
Fundersnot available
KeywordsLatin AmericansVaccinationRefugeeGrey literatureContext (archaeology)Inclusion (mineral)Government (linguistics)Population

Abstract

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Background Venezuelan migration is the second largest international displacement in contemporary history. Yet, amid global calls for the inclusion of migrants and refugees in COVID-19 vaccination priority groups, little is known about how Latin American countries are prioritising COVID-19 vaccination for Venezuelans. This rapid scoping review addresses this gap, taking up a Latin American Social Medicine approach to assess the region's sociopolitical context and explore the extent to which Venezuelan migrants are considered in COVID-19 vaccination strategies in Latin America. Methods We conducted a three-phased rapid scoping review assessing peer-reviewed literature, gray literature, and government documents addressing COVID-19 vaccine access for displaced Venezuelans in Latin America. Documents published in English, Spanish, or Portuguese between January 2020 and June 2021 were included. Peer-reviewed literature search yielded 142 results and 13 articles included in the analysis; Gray literature screening resulted in 68 publications for full-text review and 37 were included; and official Ministry of Health policies in Argentina, Brazil, Chile, Colombia, Ecuador, and Peru were reviewed in-depth. Screening and data extraction used a combination of online platforms (Covidence, Google Forms, Zotero, and Excel) and the team met twice weekly to review, compare, discuss, analyse, and interpret data across a 6-week period. Findings Findings from country-level policies revealed a heterogeneous and shifting policy landscape amid the COVID-19 pandemic, which strongly juxtaposed calls for a rights-based, social justice approach to COVID-19 vaccination evidenced in the peer-reviewed and gray literature. For example, under extreme resource constraints resulting from a chronically underfunded health system and mass Venezuelan migration. Colombia's vaccination plan excluded migrants with irregular migration status. Countries prioritised COVID-19 vaccines to certain "at-risk" groups defined by individual epidemiological factors rather than social vulnerability, limiting vaccine access for displaced Venezuelans in the region. Country-level policies differentiated, at times arbitrarily, between refugees, irregular migrants, and regular migrants, with important implications for vaccine access. While international right to health legislation prohibits discrimination based on migration status and urges states to refrain from denying access to preventive health services, these results suggest the need for further guidance on terminology to better contend with migrants' social vulnerabilities. Interpretation COVID-19 is rapidly evolving and there is an urgent need for rights-based approaches to vaccination that consider sociopolitical contexts, especially impacts of mass migration. Findings underscore the need to better integrate Venezuelan migrants into vaccination strategies, not only as a matter of social justice, but a pragmatic public health strategy. Funding Funding provided by the Canadian Social Sciences and Humanities Research Council Insight Development Grant.

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 imitation

Not 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.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.087
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.087
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0260.022
Science and technology studies0.0020.001
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.133
GPT teacher head0.514
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

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Citations1
Published2022
Admission routes2
Has abstractyes

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