Imperial College London
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Professor Cleo Kontoravdi

Faculty of Engineering, Department of Chemical Engineering

Professor of Biological Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6655cleo.kontoravdi98 Website

 
 
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Location

 

310ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ibrahim:2021:10.3390/vaccines9121460,
author = {Ibrahim, D and Kis, Z and Tak, K and Papathanasiou, MM and Kontoravdi, C and Chachuat, B and Shah, N},
doi = {10.3390/vaccines9121460},
journal = {Vaccines},
pages = {1--19},
title = {Model-based planning and delivery of mass vaccination campaigns against infectious disease: application to the COVID-19 pandemic in the UK},
url = {http://dx.doi.org/10.3390/vaccines9121460},
volume = {9},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Ibrahim,D
AU  - Kis,Z
AU  - Tak,K
AU  - Papathanasiou,MM
AU  - Kontoravdi,C
AU  - Chachuat,B
AU  - Shah,N
DO  - 10.3390/vaccines9121460
EP  - 19
PY  - 2021///
SN  - 2076-393X
SP  - 1
TI  - Model-based planning and delivery of mass vaccination campaigns against infectious disease: application to the COVID-19 pandemic in the UK
T2  - Vaccines
UR  - http://dx.doi.org/10.3390/vaccines9121460
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000737357700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.mdpi.com/2076-393X/9/12/1460
UR  - http://hdl.handle.net/10044/1/93544
VL  - 9
ER  -
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