Evidence map›Paper›PMID 33977274›Full record

ArticleJournal of advanced manufacturing and processing2020

Rapid development and deployment of high-volume vaccines for pandemic response.

Zoltán Kis, Cleo Kontoravdi, Antu K Dey, Robin Shattock, Nilay Shah

Open access · hybridAbstract read
In one paragraph

Article in Journal of advanced manufacturing and processing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
1.2field-weighted citation impact, top 11% of its field
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

44 citing papers in PubMed, 107 citations in OpenAlex.

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  12. Frontiers in immunology · 2026
    Review
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  14. Vaccines · 2025
    Review
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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

5 authors at 2 institutions in 2 countries.

Zoltán KisCentre for Process Systems Engineering, Department of Chemical Engineering, Faculty of Engineering Imperial College London London UK.ORCID https://orcid.org/0000-0002-6598-8369
Cleo KontoravdiCentre for Process Systems Engineering, Department of Chemical Engineering, Faculty of Engineering Imperial College London London UK.
Antu K DeyInternational AIDS Vaccine Initiative (IAVI) New York New York USA.
Robin ShattockDepartment of Infectious Disease, Faculty of Medicine Imperial College London UK.
Nilay ShahCentre for Process Systems Engineering, Department of Chemical Engineering, Faculty of Engineering Imperial College London London UK.
Imperial College London · GBInternational AIDS Vaccine Initiative · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overcoming pandemics, such as the current Covid-19 outbreak, requires the manufacture of several billion doses of vaccines within months. This is an extremely challenging task given the constraints in small-scale manufacturing for clinical trials, clinical testing timelines involving multiple phases and large-scale drug substance and drug product manufacturing. To tackle these challenges, regulatory processes are fast-tracked, and rapid-response manufacturing platform technologies are used. Here, we evaluate the current progress, challenges ahead and potential solutions for providing vaccines for pandemic response at an unprecedented scale and rate. Emerging rapid-response vaccine platform technologies, especially RNA platforms, offer a high productivity estimated at over 1 billion doses per year with a small manufacturing footprint and low capital cost facilities. The self-amplifying RNA (saRNA) drug product cost is estimated at below 1 USD/dose. These manufacturing processes and facilities can be decentralized to facilitate production, distribution, but also raw material supply. The RNA platform technology can be complemented by an a priori Quality by Design analysis aided by computational modeling in order to assure product quality and further speed up the regulatory approval processes when these platforms are used for epidemic or pandemic response in the future.

Indexed as

bioprocess modelingdistributed manufacturingpandemic‐response vaccine manufacturingQuality by DesignRNA vaccinestechno‐economic modelingvaccine platform technology

Identifiers

PMID33977274
PMCPMC7361221
OpenAlexW3038123760

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.