Time-dependent vaccine efficacy estimation quantified by a mathematical model

In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothe...

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Detalles Bibliográficos
Autores principales: Loria, Jennifer, Albani, Vinicius V. L., Coutinho, Francisco A. B., Covas, Dimas T., Struchiner, Claudio J., Zubelli, Jorge P., Massad, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174497/
https://www.ncbi.nlm.nih.gov/pubmed/37167285
http://dx.doi.org/10.1371/journal.pone.0285466
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author Loria, Jennifer
Albani, Vinicius V. L.
Coutinho, Francisco A. B.
Covas, Dimas T.
Struchiner, Claudio J.
Zubelli, Jorge P.
Massad, Eduardo
author_facet Loria, Jennifer
Albani, Vinicius V. L.
Coutinho, Francisco A. B.
Covas, Dimas T.
Struchiner, Claudio J.
Zubelli, Jorge P.
Massad, Eduardo
author_sort Loria, Jennifer
collection PubMed
description In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothesis that the time difference between the moment the CT begins and the peak in the outbreak intensity determines substantially different values for VE. We exemplify the method with the case of the VE efficacy estimation for one of the vaccines against the new coronavirus SARS-CoV-2.
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spelling pubmed-101744972023-05-12 Time-dependent vaccine efficacy estimation quantified by a mathematical model Loria, Jennifer Albani, Vinicius V. L. Coutinho, Francisco A. B. Covas, Dimas T. Struchiner, Claudio J. Zubelli, Jorge P. Massad, Eduardo PLoS One Research Article In this paper we calculate the variation of the estimated vaccine efficacy (VE) due to the time-dependent force of infection resulting from the difference between the moment the Clinical Trial (CT) begins and the peak in the outbreak intensity. Using a simple mathematical model we tested the hypothesis that the time difference between the moment the CT begins and the peak in the outbreak intensity determines substantially different values for VE. We exemplify the method with the case of the VE efficacy estimation for one of the vaccines against the new coronavirus SARS-CoV-2. Public Library of Science 2023-05-11 /pmc/articles/PMC10174497/ /pubmed/37167285 http://dx.doi.org/10.1371/journal.pone.0285466 Text en © 2023 Loria et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Loria, Jennifer
Albani, Vinicius V. L.
Coutinho, Francisco A. B.
Covas, Dimas T.
Struchiner, Claudio J.
Zubelli, Jorge P.
Massad, Eduardo
Time-dependent vaccine efficacy estimation quantified by a mathematical model
title Time-dependent vaccine efficacy estimation quantified by a mathematical model
title_full Time-dependent vaccine efficacy estimation quantified by a mathematical model
title_fullStr Time-dependent vaccine efficacy estimation quantified by a mathematical model
title_full_unstemmed Time-dependent vaccine efficacy estimation quantified by a mathematical model
title_short Time-dependent vaccine efficacy estimation quantified by a mathematical model
title_sort time-dependent vaccine efficacy estimation quantified by a mathematical model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174497/
https://www.ncbi.nlm.nih.gov/pubmed/37167285
http://dx.doi.org/10.1371/journal.pone.0285466
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