Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies-Reference-Cited by-同舟云学术

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Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies

Published:2022-01-18 Issue:2 Volume:74 Page:476-488
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Strong Peter¹^ORCID,Shenvi Aditi¹^ORCID,Yu Xuewen²^ORCID,Papamichail K. Nadia³⁴^ORCID,Wynn Henry P.⁴⁵^ORCID,Smith Jim Q.²⁴^ORCID

Affiliation:

1. Centre for Complexity Science, University of Warwick, Coventry, UK

2. Department of Statistics, University of Warwick, Coventry, UK

3. Alliance Manchester Business School, The University of Manchester, Manchester, UK

4. The Alan Turing Institute, The Alan Turing Institute, London, UK

5. London School of Economics and Political Science, London, UK

Funder

University of Warwick Chancellor's International Scholarship

Alan Turing Institute and funded by the EPSRC

EPSRC and MRC Centre for Doctoral Training in Mathematics for Real-World Systems

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/01605682.2021.2023673

Reference58 articles.

1. Decision-making during a crisis: the interplay of narratives and statistical information before and after crisis communication

2. A decision support system for addressing food security in the United Kingdom

3. Eliciting Probabilistic Judgements for Integrating Decision Support Systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decision Support Frameworks in Public Health Emergencies: A Systematic Review of Dynamic Models in Complex Contexts;International Journal of Environmental Research and Public Health;2023-08-30

2. Closing the Gap Between Decision Analysis and Policy Analysts Before the Next Pandemic;Decision Analysis;2023-06

3. Operational Research in times of crisis: Experiences with COVID-19;Journal of the Operational Research Society;2023-02-01

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