Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines

Optimal use and distribution of coronavirus disease 2019 (COVID‐19) vaccines involves adjustments of dosing. Due to the rapidly evolving pandemic, such adjustments often need to be introduced before full efficacy data are available. As demonstrated in other areas of drug development, quantitative sy...

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Autores principales: Giorgi, Mario, Desikan, Rajat, van der Graaf, Piet H., Kierzek, Andrzej M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Perspectives
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420530/
https://www.ncbi.nlm.nih.gov/pubmed/34331834
http://dx.doi.org/10.1002/psp4.12700
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author Giorgi, Mario
Desikan, Rajat
van der Graaf, Piet H.
Kierzek, Andrzej M.
author_facet Giorgi, Mario
Desikan, Rajat
van der Graaf, Piet H.
Kierzek, Andrzej M.
author_sort Giorgi, Mario
collection PubMed
description Optimal use and distribution of coronavirus disease 2019 (COVID‐19) vaccines involves adjustments of dosing. Due to the rapidly evolving pandemic, such adjustments often need to be introduced before full efficacy data are available. As demonstrated in other areas of drug development, quantitative systems pharmacology (QSP) is well placed to guide such extrapolation in a rational and timely manner. Here, we propose for the first time how QSP can be applied in the context of COVID‐19 vaccine development.
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spelling pubmed-84205302021-09-07 Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines Giorgi, Mario Desikan, Rajat van der Graaf, Piet H. Kierzek, Andrzej M. CPT Pharmacometrics Syst Pharmacol Perspectives Optimal use and distribution of coronavirus disease 2019 (COVID‐19) vaccines involves adjustments of dosing. Due to the rapidly evolving pandemic, such adjustments often need to be introduced before full efficacy data are available. As demonstrated in other areas of drug development, quantitative systems pharmacology (QSP) is well placed to guide such extrapolation in a rational and timely manner. Here, we propose for the first time how QSP can be applied in the context of COVID‐19 vaccine development. John Wiley and Sons Inc. 2021-08-12 2021-10 /pmc/articles/PMC8420530/ /pubmed/34331834 http://dx.doi.org/10.1002/psp4.12700 Text en © 2021 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Perspectives
Giorgi, Mario
Desikan, Rajat
van der Graaf, Piet H.
Kierzek, Andrzej M.
Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines
title Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines
title_full Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines
title_fullStr Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines
title_full_unstemmed Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines
title_short Application of quantitative systems pharmacology to guide the optimal dosing of COVID‐19 vaccines
title_sort application of quantitative systems pharmacology to guide the optimal dosing of covid‐19 vaccines
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420530/
https://www.ncbi.nlm.nih.gov/pubmed/34331834
http://dx.doi.org/10.1002/psp4.12700
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