Evidence map›Paper›PMID 36785560›Full record

ArticleResearch policy2023

Vaccine technology transfer in a global health crisis: Actors, capabilities, and institutions.

Elize Massard da Fonseca, Kenneth C Shadlen, Helena de Moraes Achcar

Abstract read
In one paragraph

Article in Research policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Elize Massard da FonsecaSão Paulo School of Business Administration, Getulio Vargas Foundation, Rua Itapeva, 474 #7 floor, 01332-000 São Paulo, Brazil.
Kenneth C ShadlenDepartment of International Development, London School of Economics and Political Science, Connaught House, Houghton Street, London WC2A 2AE, United Kingdom.
Helena de Moraes AchcarSão Paulo School of Business Administration, Getulio Vargas Foundation, Rua Itapeva, 474 #7 floor, 01332-000 São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic, which featured international pharmaceutical firms seeking to build global manufacturing networks to scale-up the supply of vaccines, has generated heightened interest in understanding the role of firm-to-firm technology transfer. While considerable attention has been given to tracking the extent of international vaccine technology transfer, we know little about how partnerships were established and work in practice. Understanding the challenges that such projects face, and how such challenges may be overcome, is crucially important. This paper provides an account of the partnership between the British-Swedish multinational pharmaceutical company AstraZeneca, the vaccine developer that has engaged in the most technology transfer and built the widest global manufacturing network, and Bio-Manguinhos, a public laboratory linked to Brazil's Ministry of Health. The case study demonstrates the importance of capabilities and regulatory flexibility. Moreover, the analysis highlights the role of political factors that affect the process of technology transfer, and innovation more broadly. Because of the risks involved and the need to quickly mobilize existing capabilities and build new ones, as well as the imperatives of coordinating among manufacturing and regulatory processes and allocating resources to make such arrangements feasible, technology transfer projects need to be enabled politically. Looking forward, the case study has implications for initiatives to expand technology transfer for broadened production of vaccines in the Global South.

Indexed as

COVID-19Global SouthPharmaceutical industriesTechnology transferVaccine production

Identifiers

PMID36785560
PMCPMC9907960

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.