Meeting the UK demand for COVID19/SARS-CoV-2 vaccines via integrated manufacturing and supply chain optimisation
Meeting the UK demand for COVID19/SARS-CoV-2 vaccines via integrated manufacturing and supply chain optimisation
批准号:
EP/V01479X/1
负责人:
Nilay Shah
金额:
$57.1万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
With the world's exit strategy from the current Covid-19 pandemic dependent on developing herd immunity through mass vaccination, there is imminent need to develop a roadmap for vaccine rapid manufacture and distribution at unprecedented scale. We seek funding to develop a blueprint for ramping up production, distribution and administration of SARS-CoV-2 vaccines based on a stratified vaccination strategy that starts with front-line personnel all the way to mass vaccination of the general UK population. To do this, we will combine process modelling with supply-chain optimisation to ensure (a) drug product and final drug substance availability, and (b) that production goes hand-in-hand with immediate availability for progressively larger parts of the population. Our models will be open-source and publicly available, and they will subsequently be extended to describe European manufacturing capabilities and vaccination campaigns. We are members of both the UCL-Oxford VaxHub and Imperial's Future Vaccine Manufacturing Hub (FVMH) and have had early access to data for the viral vector vaccine developed by the Jenner Institute and the saRNA vaccine developed by the Shattock group. As such,we have already developed manufacturing models and have been working on optimisation and scaling up strategies. With these two technologies being the global frontrunners in the race to clinical trials (e.g. Moderna in the USA is in Phase I clinical trials, NCT04283461 and Curevac in Germany is aiming to enter clinical trials in early summer 2020), our models will be applicable to any of these vaccines that receive regulatory approval.
期刊论文(8)
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DOI:
10.3390/pharmaceutics14020430
发表时间:
2022-02-17
期刊:
Pharmaceutics
影响因子:
5.4
作者:
[Kis Z]
通讯作者:
Kis Z
DOI:
10.1186/s12859-022-04650-w
发表时间:
2022-04-04
期刊:
BMC bioinformatics
影响因子:
3
作者:
[Amiri Souri E, Laddach R, Karagiannis SN, Papageorgiou LG, Tsoka S]
通讯作者:
Tsoka S
DOI:
10.1038/s41541-022-00447-3
发表时间:
2022-03-02
期刊:
NPJ vaccines
影响因子:
9.2
作者:
[Kis Z, Tak K, Ibrahim D, Papathanasiou MM, Chachuat B, Shah N, Kontoravdi C]
通讯作者:
Kontoravdi C
Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK.
基于模型的计划和针对传染病的大规模疫苗接种运动:在英国的COVID-19大流行中的应用。
DOI:
10.3390/vaccines9121460
发表时间:
2021-12-10
期刊:
Vaccines
影响因子:
7.8
作者:
[Ibrahim D, Kis Z, Tak K, Papathanasiou MM, Kontoravdi C, Chachuat B, Shah N]
通讯作者:
Shah N
DOI:
10.1038/s41541-021-00322-7
发表时间:
2021-04-29
期刊:
NPJ vaccines
影响因子:
9.2
作者:
[van de Berg D, Kis Z, Behmer CF, Samnuan K, Blakney AK, Kontoravdi C, Shattock R, Shah N]
通讯作者:
Shah N
DEMSIS: Digital energy management services in supermarket buildings via cloud-based solutions
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批准号:EP/W027348/1
-
项目类别:Research Grant
-
资助金额:$6.4万
-
财政年份:2022
-
负责人:Nilay Shah
-
依托单位:
Ocean-REFuel - Ocean Renewable Energy Fuels
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批准号:EP/W005158/1
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项目类别:Research Grant
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资助金额:$119.69万
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负责人:Nilay Shah
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依托单位:
Digital Circular Electrochemical Economy (DCEE)
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批准号:EP/V042432/1
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项目类别:Research Grant
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资助金额:$122.91万
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负责人:Nilay Shah
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Bioenergy value chains: Whole systems analysis and optimisation
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Development and application of methods for complexity reduction, metamodelling and optimal experimental design based on global sensitivity analysis
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资助金额:$87.7万
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负责人:Nilay Shah
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依托单位:
Application of global sensitivity analysis for complexity reduction, parameter estimation and time series forecasting
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资助金额:$54.15万
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负责人:Nilay Shah
-
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国内基金
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