Accelerated COVID-19 vaccine development: milestones, lessons, and prospects
Open accessAbstract
The development of effective vaccines to combat infectious diseases is a complex multi-year and multi-stakeholder process. To accelerate the development of vaccines for coronavirus disease 2019 (COVID-19), a novel pathogen emerging in late 2019 and spreading globally by early 2020, the United States government (USG) mounted an operation bridging public and private sector expertise and infrastructure. The success of the endeavor can be seen in the rapid advanced development of multiple vaccine candidates, with several demonstrating efficacy and now being administered around the globe. Here, we review the milestones enabling the USG-led effort, the methods utilized, and ensuing outcomes. We discuss the current status of COVID-19 vaccine development and provide a perspective for how partnership and preparedness can be better utilized in response to future public-health pandemic emergencies.
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mRNA vaccines are promising alternatives to conventional vaccines because of their high potency, low manufacturing cost, and short preparation period.
“mRNA vaccines are promising alternatives to conventional vaccines because of their high potency, low manufacturing cost, and short preparation period (Bok et al., 2021; Chaudhary et al., 2021).”
From A novel Toxoplasma gondii TGGT1_316290 mRNA-LNP vaccine elicits protective immune response against toxoplasmosis in mice (2023) · cites this paper as Bok et al., 2021
In “Advances in vaccine platform technologies” (page not provided), the paper says mRNA vaccines can be designed and produced rapidly and that COVID-19 mRNA vaccines induced effective immunity. It does not say mRNA vaccines have low manufacturing costs; that section attributes relatively low cost to recombinant protein vaccines instead. (LLM, conf=0.88)
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- Authors
- Bok, K., Sitar, S., Graham, B. S., & Mascola, J. R.
- Affiliations
- National Institutes of Health (US)
- Corresponding author
- Mascola, John R.
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 54
- Issue
- 8
- Pages
- 1636-1651
- ISSN
- 1074-7613 (ISSN-L)
- PMC
- PMC8328682
- OpenAlex
- W3187496430
- Cited by
- 254
- References
- 149
- Citations by year
- 2026: 9 · 2025: 36 · 2024: 46 · 2023: 74 · 2022: 77 · 2021: 12
- FWCI
- 6.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Immunity (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Health and Human Services (63/140,250, PCT/US2021/017709, WO/2018/081318)
- Centers for Disease Control and Prevention
- National Institute of Allergy and Infectious Diseases
- Biomedical Advanced Research and Development Authority
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Legal, Health, Environmental and COVID-19 Challenges
- Social Sciences › Health › Vaccine Coverage and Hesitancy
- Keywords
- COVID-19 vaccine development, SARS-CoV-2, public-private partnerships, vaccine candidate, pandemic preparedness, public health emergencies, vaccine efficacy
- MeSH terms
- Vaccination Coverage, Vaccinology, COVID-19, SARS-CoV-2, COVID-19 Vaccines, Biotechnology, Humans, Models, Molecular, Research, United States, Outcome Assessment, Health Care, Bioengineering, Public Health Surveillance
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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