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A cost/benefit analysis of clinical trial designs for COVID-19 vaccine candidates

We compare and contrast the expected duration and number of infections and deaths averted among several designs for clinical trials of COVID-19 vaccine candidates, including traditional and adaptive randomized clinical trials and human challenge trials. Using epidemiological models calibrated to the...

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Detalles Bibliográficos
Autores principales: Berry, Donald A., Berry, Scott, Hale, Peter, Isakov, Leah, Lo, Andrew W., Siah, Kien Wei, Wong, Chi Heem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757868/
https://www.ncbi.nlm.nih.gov/pubmed/33362278
http://dx.doi.org/10.1371/journal.pone.0244418
Descripción
Sumario:We compare and contrast the expected duration and number of infections and deaths averted among several designs for clinical trials of COVID-19 vaccine candidates, including traditional and adaptive randomized clinical trials and human challenge trials. Using epidemiological models calibrated to the current pandemic, we simulate the time course of each clinical trial design for 756 unique combinations of parameters, allowing us to determine which trial design is most effective for a given scenario. A human challenge trial provides maximal net benefits—averting an additional 1.1M infections and 8,000 deaths in the U.S. compared to the next best clinical trial design—if its set-up time is short or the pandemic spreads slowly. In most of the other cases, an adaptive trial provides greater net benefits.