Strategic Planning of a Joint SARS-CoV-2 and Influenza Vaccination Campaign in the UK

Author:

Ibrahim Dauda1,Kis Zoltán12ORCID,Papathanasiou Maria M.1,Kontoravdi Cleo1,Chachuat Benoît1ORCID,Shah Nilay1

Affiliation:

1. The Sargent Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK

2. Department of Chemical and Biological Engineering, The University of Sheffield, Sheffield S1 3JD, UK

Abstract

The simultaneous administration of SARS-CoV-2 and influenza vaccines is being carried out for the first time in the UK and around the globe in order to mitigate the health, economic, and societal impacts of these respiratory tract diseases. However, a systematic approach for planning the vaccine distribution and administration aspects of the vaccination campaigns would be beneficial. This work develops a novel multi-product mixed-integer linear programming (MILP) vaccine supply chain model that can be used to plan and optimise the simultaneous distribution and administration of SARS-CoV-2 and influenza vaccines. The outcomes from this study reveal that the total budget required to successfully accomplish the SARS-CoV-2 and influenza vaccination campaigns is equivalent to USD 7.29 billion, of which the procurement costs of SARS-CoV-2 and influenza vaccines correspond to USD 2.1 billion and USD 0.83 billion, respectively. The logistics cost is equivalent to USD 3.45 billion, and the costs of vaccinating individuals, quality control checks, and vaccine shipper and dry ice correspond to USD 1.66, 0.066, and 0.014, respectively. The analysis of the results shows that the choice of rolling out the SARS-CoV-2 vaccine during the vaccination campaign can have a significant impact not only on the total vaccination cost but also on vaccine wastage rate.

Funder

UK Research and Innovation

Engineering and Physical Science Research Council (EPSRC) grant

Future Vaccine Manufacturing Research Hub at UCL-Oxford

Department of Health and Social Care using UK Aid funding as managed by the EPSRC

Publisher

MDPI AG

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