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Record W3211892490 · doi:10.1186/s12992-021-00779-0

A pandemic treaty, revised international health regulations, or both?

2021· letter· en· W3211892490 on OpenAlexaff
Ronald Labonté, Mary Wiktorowicz, Corinne Packer, Arne Rückert, Kumanan Wilson, Sam Halabi

Bibliographic record

VenueGlobalization and Health · 2021
Typeletter
Languageen
FieldMedicine
TopicZoonotic diseases and public health
Canadian institutionsOttawa HospitalYork UniversityBruyèreUniversity of Ottawa
Fundersnot available
KeywordsTreatyInternational Health RegulationsPandemicPreparednessGlobal healthPolitical sciencePublic healthPrincipal (computer security)Economic growthLawMedicineHealth careEconomicsCoronavirus disease 2019 (COVID-19)Infectious disease (medical specialty)

Abstract

fetched live from OpenAlex

BACKGROUND: A special session of the World Health Assembly (WHA) will be convened in late 2021 to consider developing a WHO convention, agreement or other international instrument on pandemic preparedness and response - a so-called 'Pandemic Treaty'. Consideration is given to this treaty as well as to reform of the International Health Regulations (IHR) as our principal governing instrument to prevent and mitigate future pandemics. MAIN BODY: Reasons exist to continue to work with the IHR as our principal governing instrument to prevent and mitigate future pandemics. All WHO member states are party to it. It gives the WHO the authority to oversee the collection of surveillance data and to issue recommendations on trade and travel advisories to control the spread of infectious diseases, among other things. However, the limitations of the IHR in addressing the deep prevention of future pandemics also must be recognized. These include a lack of a regulatory framework to prevent zoonotic spillovers. More advanced multi-sectoral measures are also needed. At the same time, a pandemic treaty would have potential benefits and drawbacks as well. It would be a means of addressing the gross inequity in global vaccine distribution and other gaps in the IHR, but it would also need more involvement at the negotiation table of countries in the Global South, significant funding, and likely many years to adopt. CONCLUSIONS: Reform of the IHR should be undertaken while engaging with WHO member states (and notably those from the Global South) in discussions on the possible benefits, drawbacks and scope of a new pandemic treaty. Both options are not mutually exclusive.

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)0.016
metaresearch head score (Gemma)0.027
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: Commentary
Teacher disagreement score0.024
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.009
Scholarly communication0.0090.012
Open science0.0020.003
Research integrity0.0150.015
Insufficient payload (model declined to judge)0.0240.007

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 head0.083
GPT teacher head0.393
Teacher spread0.310 · 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

Citations47
Published2021
Admission routes1
Has abstractyes

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