Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK.
Model-Based Planning and Delivery of Mass Vaccination Campaigns against Infectious Disease: Application to the COVID-19 Pandemic in the UK.
复制标题
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
复制
发表时间：
2021-12-10
期刊：
影响因子：
7.8
通讯作者：
Shah N
中科院分区：
文献类型：
--
作者：
Ibrahim D;Kis Z;Tak K;Papathanasiou MM;Kontoravdi C;Chachuat B;Shah N
疫苗接种在降低传染病（包括最近的COVID-19大流行）造成的发病率和死亡率方面发挥着关键作用。然而，目前缺乏一种能够规划疫苗接种运动和估计提供和管理COVID-19疫苗所需资源的综合方法。这项工作实施了一个新的框架，支持疫苗接种运动的规划和实施。首先，该框架对目标人群进行细分和优先考虑，然后估计疫苗接种时间框架和劳动力需求，最后预测物流成本，并促进疫苗从生产厂分发到疫苗接种中心。这项研究的结果揭示了在疫苗接种运动之前所需的必要资源及其相关成本。对结果的分析表明，通过整合需求分层、管理和供应链，可以利用这些活动之间的协同作用，规划并以具有成本效益的方式提供针对COVID-19的疫苗接种运动，并展示如何以资源高效的方式保持高疫苗接种率。
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.
登录
查看更多内容
影响因子：
5.5
作者：
Georgiadis GP;Georgiadis MC
通讯作者：
Georgiadis MC
影响因子：
5.5
作者：
Brown, Shawn T.;Schreiber, Benjamin;Lee, Bruce Y.
通讯作者：
Lee, Bruce Y.
DOI：
10.1016/s2589-7500(20)30268-5
发表时间：
2021-01
期刊：
The Lancet. Digital health
影响因子：
--
作者：
Becker AD;Grantz KH;Hegde ST;Bérubé S;Cummings DAT;Wesolowski A
通讯作者：
Wesolowski A
影响因子：
--
作者：
Chen, Sheng-I;Norman, Bryan A.;Brown, Shawn T.
通讯作者：
Brown, Shawn T.
整合素结合肽 ATN-161，作为 SARS-CoV-2 感染的新疗法。
DOI：
10.1016/j.jacbts.2020.10.003
发表时间：
2021-01
期刊：
JACC. Basic to translational science
影响因子：
--
作者：
Beddingfield BJ;Iwanaga N;Chapagain PP;Zheng W;Roy CJ;Hu TY;Kolls JK;Bix GJ
通讯作者：
Bix GJ