Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK

Vaccination plays a key role in reducing morbidity and mortality caused by infectious diseases, including the recent COVID-19 pandemic. However, a comprehensive approach that allows the planning of vaccination campaigns and the estimation of the resources required to deliver and administer COVID-19...

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Main Authors: Dauda Ibrahim, Zoltán Kis, Kyungjae Tak, Maria M. Papathanasiou, Cleo Kontoravdi, Benoît Chachuat, Nilay Shah
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Vaccines
Subjects:
Online Access:https://www.mdpi.com/2076-393X/9/12/1460
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author Dauda Ibrahim
Zoltán Kis
Kyungjae Tak
Maria M. Papathanasiou
Cleo Kontoravdi
Benoît Chachuat
Nilay Shah
author_facet Dauda Ibrahim
Zoltán Kis
Kyungjae Tak
Maria M. Papathanasiou
Cleo Kontoravdi
Benoît Chachuat
Nilay Shah
author_sort Dauda Ibrahim
collection DOAJ
description Vaccination plays a key role in reducing morbidity and mortality caused by infectious diseases, including the recent COVID-19 pandemic. However, a comprehensive approach that allows the planning of vaccination campaigns and the estimation of the resources required to deliver and administer COVID-19 vaccines is lacking. This work implements a new framework that supports the planning and delivery of vaccination campaigns. Firstly, the framework segments and priorities target populations, then estimates vaccination timeframe and workforce requirements, and lastly predicts logistics costs and facilitates the distribution of vaccines from manufacturing plants to vaccination centres. The outcomes from this study reveal the necessary resources required and their associated costs ahead of a vaccination campaign. Analysis of results shows that by integrating demand stratification, administration, and the supply chain, the synergy amongst these activities can be exploited to allow planning and cost-effective delivery of a vaccination campaign against COVID-19 and demonstrates how to sustain high rates of vaccination in a resource-efficient fashion.
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spelling doaj.art-a10938645fd34e7f9e0298e325358ab82023-11-23T10:54:40ZengMDPI AGVaccines2076-393X2021-12-01912146010.3390/vaccines9121460Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UKDauda Ibrahim0Zoltán Kis1Kyungjae Tak2Maria M. Papathanasiou3Cleo Kontoravdi4Benoît Chachuat5Nilay Shah6The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKThe Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKThe Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKThe Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKThe Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKThe Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKThe Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UKVaccination plays a key role in reducing morbidity and mortality caused by infectious diseases, including the recent COVID-19 pandemic. However, a comprehensive approach that allows the planning of vaccination campaigns and the estimation of the resources required to deliver and administer COVID-19 vaccines is lacking. This work implements a new framework that supports the planning and delivery of vaccination campaigns. Firstly, the framework segments and priorities target populations, then estimates vaccination timeframe and workforce requirements, and lastly predicts logistics costs and facilitates the distribution of vaccines from manufacturing plants to vaccination centres. The outcomes from this study reveal the necessary resources required and their associated costs ahead of a vaccination campaign. Analysis of results shows that by integrating demand stratification, administration, and the supply chain, the synergy amongst these activities can be exploited to allow planning and cost-effective delivery of a vaccination campaign against COVID-19 and demonstrates how to sustain high rates of vaccination in a resource-efficient fashion.https://www.mdpi.com/2076-393X/9/12/1460SARS-CoV-2 vaccinesvaccination campaignvaccine availabilitydemand stratificationeconomic analysismathematical programming
spellingShingle Dauda Ibrahim
Zoltán Kis
Kyungjae Tak
Maria M. Papathanasiou
Cleo Kontoravdi
Benoît Chachuat
Nilay Shah
Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK
Vaccines
SARS-CoV-2 vaccines
vaccination campaign
vaccine availability
demand stratification
economic analysis
mathematical programming
title Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK
title_full Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK
title_fullStr Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK
title_full_unstemmed Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK
title_short Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK
title_sort model based planning and delivery of mass vaccination campaigns against infectious disease application to the covid 19 pandemic in the uk
topic SARS-CoV-2 vaccines
vaccination campaign
vaccine availability
demand stratification
economic analysis
mathematical programming
url https://www.mdpi.com/2076-393X/9/12/1460
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