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Original Articles
Building a Bayesian decision support system for evaluating COVID-19 countermeasure strategies
Peter Stronga Centre for Complexity Science, University of Warwick, Coventry, UKCorrespondence[email protected]
https://orcid.org/0000-0002-1514-9698View further author information
https://orcid.org/0000-0002-1514-9698View further author information, Aditi Shenvia Centre for Complexity Science, University of Warwick, Coventry, UKhttps://orcid.org/0000-0002-2453-9188View further author information
https://orcid.org/0000-0002-2453-9188View further author information, Xuewen Yub Department of Statistics, University of Warwick, Coventry, UKhttps://orcid.org/0000-0001-9799-0423View further author information
https://orcid.org/0000-0001-9799-0423View further author information, K. Nadia Papamichailc Alliance Manchester Business School, The University of Manchester, Manchester, UK;d The Alan Turing Institute, The Alan Turing Institute, London, UKhttps://orcid.org/0000-0001-8307-9620View further author information
https://orcid.org/0000-0001-8307-9620View further author information, Henry P. Wynnd The Alan Turing Institute, The Alan Turing Institute, London, UK;e London School of Economics and Political Science, London, UKhttps://orcid.org/0000-0002-6448-1080View further author information
https://orcid.org/0000-0002-6448-1080View further author information & Jim Q. Smithb Department of Statistics, University of Warwick, Coventry, UK;d The Alan Turing Institute, The Alan Turing Institute, London, UKhttps://orcid.org/0000-0002-9224-5317View further author information
https://orcid.org/0000-0002-9224-5317View further author information