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Optimal design and planning of supply chains for viral vectors and RNA vaccines
This work develops a multi-product MILP vaccine supply chain model that supports planning, distribution, and administration of viral vectors and RNA-based vaccines. The capability of the proposed vaccine supply chain model is illustrated using a real-world case study on vaccination against SARS-CoV-...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340304/ http://dx.doi.org/10.1016/B978-0-323-95879-0.50273-3 |
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author | Ibrahim, Dauda Kis, Zoltán Tak, Kyungjae Papathanasiou, Maria Kontoravdi, Cleo Chachuat, Benoît Shah, Nilay |
author_facet | Ibrahim, Dauda Kis, Zoltán Tak, Kyungjae Papathanasiou, Maria Kontoravdi, Cleo Chachuat, Benoît Shah, Nilay |
author_sort | Ibrahim, Dauda |
collection | PubMed |
description | This work develops a multi-product MILP vaccine supply chain model that supports planning, distribution, and administration of viral vectors and RNA-based vaccines. The capability of the proposed vaccine supply chain model is illustrated using a real-world case study on vaccination against SARS-CoV-2 in the UK that concerns both viral vectors (e.g., AZD1222 developed by Oxford-AstraZeneca) and RNA-based vaccine (e.g., BNT162b2 developed by Pfizer-BioNTech). A comparison is made between the resources required and logistics costs when viral vectors and RNA vaccines are used during the SARS-CoV-2 vaccination campaign. Analysis of results shows that the logistics cost of RNA vaccines is 85% greater than that of viral vectors, and that transportation cost dominates logistics cost of RNA vaccines compared to viral vectors. |
format | Online Article Text |
id | pubmed-9340304 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93403042022-08-01 Optimal design and planning of supply chains for viral vectors and RNA vaccines Ibrahim, Dauda Kis, Zoltán Tak, Kyungjae Papathanasiou, Maria Kontoravdi, Cleo Chachuat, Benoît Shah, Nilay Computer Aided Chemical Engineering Article This work develops a multi-product MILP vaccine supply chain model that supports planning, distribution, and administration of viral vectors and RNA-based vaccines. The capability of the proposed vaccine supply chain model is illustrated using a real-world case study on vaccination against SARS-CoV-2 in the UK that concerns both viral vectors (e.g., AZD1222 developed by Oxford-AstraZeneca) and RNA-based vaccine (e.g., BNT162b2 developed by Pfizer-BioNTech). A comparison is made between the resources required and logistics costs when viral vectors and RNA vaccines are used during the SARS-CoV-2 vaccination campaign. Analysis of results shows that the logistics cost of RNA vaccines is 85% greater than that of viral vectors, and that transportation cost dominates logistics cost of RNA vaccines compared to viral vectors. Elsevier B.V. 2022 2022-08-01 /pmc/articles/PMC9340304/ http://dx.doi.org/10.1016/B978-0-323-95879-0.50273-3 Text en Copyright © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Ibrahim, Dauda Kis, Zoltán Tak, Kyungjae Papathanasiou, Maria Kontoravdi, Cleo Chachuat, Benoît Shah, Nilay Optimal design and planning of supply chains for viral vectors and RNA vaccines |
title | Optimal design and planning of supply chains for viral vectors and RNA vaccines |
title_full | Optimal design and planning of supply chains for viral vectors and RNA vaccines |
title_fullStr | Optimal design and planning of supply chains for viral vectors and RNA vaccines |
title_full_unstemmed | Optimal design and planning of supply chains for viral vectors and RNA vaccines |
title_short | Optimal design and planning of supply chains for viral vectors and RNA vaccines |
title_sort | optimal design and planning of supply chains for viral vectors and rna vaccines |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340304/ http://dx.doi.org/10.1016/B978-0-323-95879-0.50273-3 |
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