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A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers

Although vaccination is widely considered one of the most cost-effective health interventions available, global coverage rates for many vaccines remain lower than necessary for disease elimination and eradication. New vaccine technologies can play an important role in addressing barriers to vaccinat...

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Detalles Bibliográficos
Autores principales: Krautmann, Michael, Davis, Ben, Leroueil, Pascale R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075404/
https://www.ncbi.nlm.nih.gov/pubmed/37018347
http://dx.doi.org/10.1371/journal.pone.0283977
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author Krautmann, Michael
Davis, Ben
Leroueil, Pascale R.
author_facet Krautmann, Michael
Davis, Ben
Leroueil, Pascale R.
author_sort Krautmann, Michael
collection PubMed
description Although vaccination is widely considered one of the most cost-effective health interventions available, global coverage rates for many vaccines remain lower than necessary for disease elimination and eradication. New vaccine technologies can play an important role in addressing barriers to vaccination and increasing coverage rates. To identify and prioritize vaccine technology investments, decision makers must be able to compare the overall costs and benefits of each investment option. While these data points may exist, they are often confined to silos. Decision makers would benefit from a model that synthesizes this broad range of data and provides clear and actionable information. To facilitate vaccine investment, purchasing and deployment decisions, we developed a systematic and transparent cost-benefit model that estimates the value and risk of a given investment scenario from the perspective of both “buyers” (e.g., global donors, country governments) and “sellers” (e.g., developers, manufacturers) of vaccines. This model, which can be used to evaluate scenarios related to a single vaccine presentation or a portfolio of vaccine presentations, leverages our published approach for estimating the impact of improved vaccine technologies on vaccination coverage rates. This article presents a description of the model and provides an illustrative example application to a portfolio of measles-rubella vaccine technologies currently under development. Although the model is generally applicable to organizations involved in vaccine investment, manufacturing or purchasing, we believe it may be particularly useful to those engaged in vaccine markets that rely strongly on funding from institutional donors.
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spelling pubmed-100754042023-04-06 A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers Krautmann, Michael Davis, Ben Leroueil, Pascale R. PLoS One Research Article Although vaccination is widely considered one of the most cost-effective health interventions available, global coverage rates for many vaccines remain lower than necessary for disease elimination and eradication. New vaccine technologies can play an important role in addressing barriers to vaccination and increasing coverage rates. To identify and prioritize vaccine technology investments, decision makers must be able to compare the overall costs and benefits of each investment option. While these data points may exist, they are often confined to silos. Decision makers would benefit from a model that synthesizes this broad range of data and provides clear and actionable information. To facilitate vaccine investment, purchasing and deployment decisions, we developed a systematic and transparent cost-benefit model that estimates the value and risk of a given investment scenario from the perspective of both “buyers” (e.g., global donors, country governments) and “sellers” (e.g., developers, manufacturers) of vaccines. This model, which can be used to evaluate scenarios related to a single vaccine presentation or a portfolio of vaccine presentations, leverages our published approach for estimating the impact of improved vaccine technologies on vaccination coverage rates. This article presents a description of the model and provides an illustrative example application to a portfolio of measles-rubella vaccine technologies currently under development. Although the model is generally applicable to organizations involved in vaccine investment, manufacturing or purchasing, we believe it may be particularly useful to those engaged in vaccine markets that rely strongly on funding from institutional donors. Public Library of Science 2023-04-05 /pmc/articles/PMC10075404/ /pubmed/37018347 http://dx.doi.org/10.1371/journal.pone.0283977 Text en © 2023 Krautmann 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
Krautmann, Michael
Davis, Ben
Leroueil, Pascale R.
A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
title A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
title_full A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
title_fullStr A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
title_full_unstemmed A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
title_short A model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
title_sort model for estimating costs and benefits of new vaccine technologies from the perspective of both buyers and sellers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10075404/
https://www.ncbi.nlm.nih.gov/pubmed/37018347
http://dx.doi.org/10.1371/journal.pone.0283977
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