Skip to content

Research at St Andrews

How good is the science that informs government policy? A lesson from the U.K.’s response to 2020 CoV-2 outbreak

Research output: Contribution to journalArticlepeer-review


Jessica Cooper, Neofytos Dimitriou, Oggie Arandelovic

School/Research organisations


In an era when public faith in politicians is dwindling, yet trust in scientists remains relatively high, governments are increasingly emphasizing the role of science based policy-making in response to challenges such as climate change and global pandemics. In this paper we question the quality of some scientific advice given to governments and the robustness and transparency of the entire framework which envelopes such advice, all of which raise serious ethical concerns. In particular we focus on the so-called Imperial Model which heavily influenced the government of the United Kingdom in devising its response to the COVID-19 crisis. We focus on and highlight several fundamental methodological flaws of the model, raise concerns as to the robustness of the system which permitted these to remain unchallenged, and discuss the relevant ethical consequences.


Original languageEnglish
Number of pages8
JournalJournal of Bioethical Inquiry
VolumeOnline First
Early online date14 Oct 2021
Publication statusE-pub ahead of print - 14 Oct 2021

    Research areas

  • Covid-19, Epidemic, Methodology, Modelling, Decision-making, Public policy

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Understanding ancient coin images

    Cooper, J. & Arandjelovic, O., 2020, Recent Advances in Big Data and Deep Learning. Oneto, L., Navarin, N., Sperduti, A. & Anguita, D. (eds.). Cham: Springer, p. 330-340 (Proceedings of the International Neural Networks Society; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  2. Raymarching distance fields with CUDA

    Hadji-Kyriacou, A. & Arandelovic, O., 9 Nov 2021, In: Electronics. 10, 22, 26 p., 2730.

    Research output: Contribution to journalArticlepeer-review

  3. Facial action unit detection with local key facial sub-region based multi-label classification for micro-expression analysis

    Zhang, L., Arandjelovic, O. & Hong, X., 24 Oct 2021, FME'21: Proceedings of the 1st Workshop on Facial Micro-expression: Advanced Techniques for Facial Expressions Generation and Spotting. New York: ACM, p. 11-18 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. AI, democracy, and the importance of asking the right questions

    Arandelovic, O., 10 Sep 2021, In: AI & Ethics Journal. 2, 1, 11 p., 2.

    Research output: Contribution to journalArticlepeer-review

  5. Determining chess game state from an image

    Wölflein, G. & Arandelovic, O., 2 Jun 2021, In: Journal of Imaging. 7, 6, 16 p., 94.

    Research output: Contribution to journalArticlepeer-review

Related by journal

  1. Journal of Bioethical Inquiry (Journal)

    Morven Caroline Shearer (Reviewer)

    1 Jul 2012 → …

    Activity: Publication peer-review and editorial work typesPeer review of manuscripts

ID: 275568756