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Record W7042787761

Potential Role of Compulsory Licensing in the Post-COVID Recovery: Contexts, Challenges and Prospects

2021· other· en· W7042787761 on OpenAlexaboutno aff

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual propertyTRIPS architectureTRIPS AgreementLicenseLeverage (statistics)Developing countryPoliticsWaiverRight to healthDeveloped country
DOInot available

Abstract

fetched live from OpenAlex

In 1995, the World Trade Organization (WTO) linked intellectual property protection with the trade because signing Trade-Related Aspects of Intellectual Property Rights (TRIPS) Agreement is a prerequisite condition to become a WTO member. Prior to TRIPS, pharmaceuticals were excluded from patent protection in domestic laws of about fifty countries. TRIPS provided mandatory patent protection to inventions in all fields of technology for a period of twenty-years. It was anticipated at the time of drafting of TRIPS that the exclusive rights granted under patent law may have serious practical implications for poorer countries in accessing affordable medicines. Public health safeguards were therefore included in the original draft of TRIPS. Compulsory licensing of drug patents, allowed under Article 31 of the TRIPS Agreement, is one of the most notable safeguards for public health. A compulsory license is a statutorily created license that allows certain people to pay a royalty and use an invention without the patentee’s permission. In 2001, the ‘Declaration on TRIPS Agreement and Public Health’ not only affirmed the right of member states to grant compulsory licenses but also stated that public health crisis can be a justifiable ground for the grant of compulsory licenses. Practical implementation of compulsory licensing safeguard has remained controversial. Political pressure exerted by developed countries prevents developing and least developed countries from exercising their rights under TRIPS and Doha. Powerful countries, like the U.S., not only use the economic leverage - through Special 301 mechanism - to deny legitimate flexibilities to low and middle-income countries but also promote “TRIPS-Plus” policies under free-trade agreements. These bilateral or regional trade agreements require poorer countries to adopt stringent intellectual property rules that are not required under any multilateral treaty. These agreements extend patent life beyond twenty years limit, limit use of compulsory licensing and discourage market entry of generics even after the expiration of patent protection. Consequently, the issue of affordable and equitable access to innovative health technologies has been the subject of a long-standing global debate on intellectual property, trade, and public health. The United Nations Human Rights Council’s resolution, adopted in June 2016, noted that “actual or potential conflicts exist” between the implementation of TRIPS and the realization of the right to health. In September 2016, the UN High-Level Panel on Access to Medicines released its Report which echoed most of the sentiments expressed by the UN Human Rights Council in its resolution. Stephen Lewis, a Canadian politician and UN Special Envoy on HIV/AIDS, noted that “access to medicines has become one of humankind’s greatest crisis, perhaps right behind climate change”. The current COVID-19 has put this problem in the limelight because governments, even in the economically advanced countries, are struggling to meet the health needs of their populations. Patent exclusivities add to the cost of healthcare by allowing supra-competitive prices of protected technologies. On May 18-19, 2020, the annual meeting of the World Health Assembly (WHA) was held virtually to discuss the global response to COVID-19. The Resolution WHA73.1, titled COVID-19 Response, recognized that all countries should have timely and affordable access to COVID-related health technologies. The resolution, however, failed to define any specific concrete actions or provide clear guidance on how to achieve this goal. WTO Member States are considering the available policy options to achieve this goal. Countries like Chile and Ecuador have already considered the use of compulsory licensing to secure access to COVID-19 related health technologies. Canada has recently amended its patent laws to provide for a fast-track compulsory licensing option in response to the current epidemic. Some European Union countries, like France and Germany, have made recent changes to their laws to facilitate the use of compulsory licensing. Israel has actually issued a compulsory license on Abbvie’s ARV drug Keletra. In this context, this paper evaluates the policy option of compulsory licensing and highlights its role in the post-COVID recovery. Compulsory licensing has a potential role in economic and public health recovery not only in the developing world but also in economically advanced countries. This paper analyses how and why several countries have recently adapted their patent laws to facilitate the use of compulsory licensing safeguard and to what extent the current pandemic is bridging the North-South divide on the issue of compulsory licensing. This analysis, in respect of practical and legal aspects, draws upon a wide range of sources including statutes, peer-reviewed publications, blogs, quotations from stakeholders, media reports, and real-world examples. This paper argues that for a long-term solution to the problem of affordable access to medicines/vaccines and to have policy space for considering economic interests at national levels, WTO Member States need to revive the spirit of the Doha Declaration which was arguably the best multilateral effort to accommodate the conflicting interests.

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)0.036
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.051
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0150.042
Scholarly communication0.0290.034
Open science0.0070.023
Research integrity0.0220.020
Insufficient payload (model declined to judge)0.0240.002

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2021
Admission routes1
Has abstractyes

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