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Record W3025458062 · doi:10.1136/bmjgh-2020-002629

COVID-19 travel restrictions and the <i>International Health Regulations (2005)</i>

2020· article· en· W3025458062 on OpenAlexafffund
Barbara von Tigerstrom, Kumanan Wilson

Bibliographic record

VenueBMJ Global Health · 2020
Typearticle
Languageen
FieldMathematics
TopicCOVID-19 epidemiological studies
Canadian institutionsBruyèreOttawa HospitalUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsPandemicCoronavirus disease 2019 (COVID-19)International Health Regulations2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Air travelBusinessPolitical scienceInternational tradeDiseaseMedicineInfectious disease (medical specialty)AviationVirologyEngineering

Abstract

fetched live from OpenAlex

► Concerns that have been raised about states violating the International Health Regulations ( 2005) by imposing travel restrictions are valid, and some states have not complied with their obligations under those Regulations.► Given the unprecedented situation and uncertainty about the best course of action, we should not assume that all travel restrictions violate international law, even though they were not recommended by the WHO.► Some travel restrictions are more likely to be justified than others, depending on a number of factors, including how they are designed and local capacity to implement less restrictive measures.► The WHO still has an important role to play in providing guidance to states as they modify or lift travel restrictions.► In order for the international framework to be more effective, the WHO should have more flexibility to make early travel recommendations and develop protocols to facilitate the reopening of borders.

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)0.032
metaresearch head score (Gemma)0.082
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.176
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.082
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0030.003
Scholarly communication0.0100.004
Open science0.0030.005
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0290.004

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 head0.311
GPT teacher head0.513
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations36
Published2020
Admission routes2
Has abstractyes

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