Modelling the health and economic impacts of different testing and tracing strategies for COVID-19 in the UK

Colbourn, Tim, Waites, William, Manheim, David et al. (24 more authors) (2020) Modelling the health and economic impacts of different testing and tracing strategies for COVID-19 in the UK. F1000research. 1454. ISSN 2046-1402

Abstract

Metadata

Authors/Creators:
  • Colbourn, Tim
  • Waites, William
  • Manheim, David
  • Foster, Derek (zbv509@york.ac.uk)
  • Sturniolo, Simone
  • Sculpher, Mark ORCID logo https://orcid.org/0000-0003-3746-9913
  • Kerr, Cliff C.
  • Colbourn, Greg
  • Bowie, Cam
  • Godfrey, Keith M.
  • Peto, Julian
  • Burgess, Rochelle A.
  • McCoy, David
  • Alwan, Nisreen A.
  • Yao, Guiqing
  • Ouyang, Kang
  • Roderick, Paul J.
  • Pizzo, Elena
  • Hill, Tony
  • McGrath, Nuala
  • Orcutt, Miriam
  • Evans, Owain
  • Cheetham, Nathan J.
  • Bonell, Chris
  • Gomes, Manuel
  • Panovska-Griffiths, Jasmina
  • Raine, Rosalind
Copyright, Publisher and Additional Information: © 2020 Colbourn T et al. Funding Information: WW acknowledges support from the Chief Scientist Office (COV/EDI/20/12). RR, JPG, and EP are supported by the National Institute for Health Research ARC North Thames. NMcG is a recipient of an NIHR Global Health Research Professorship award (Ref: RP-2017-08-ST2-008). NAA receives research support from NIHR Applied Research Collaboration Wessex and NIHR Southampton Biomedical Research Centre. The views expressed in this independent research are those of the authors and not necessarily those of the National Institute for Health Research or the Department of Health and Social Care. KMG is supported by the UK Medical Research Council (MC_UU_12011/4), the National Institute for Health Research (NIHR Senior Investigator (NF-SI-0515-10042) and NIHR Southampton Biomedical Research Centre (IS-BRC-1215-20004)), British Heart Foundation (RG/15/17/3174), and the US National Institute On Aging of the National Institutes of Health (Award No. U24AG047867). GY acknowledges her research partially supported from the Newton Fund through a UK-China ARM Partnership Hub award (No:MR/S013717/1). DF is supported by Rethink Priorities (www.rethink priorities.org). All other authors declare that no specific grants were involved in supporting their time on this work.
Keywords: COVID-19, Economic, Health, Impacts, Isolate, Mathematical Model, Test, Trace, UK
Dates:
  • Published: 14 December 2020
Institution: The University of York
Academic Units: The University of York > Faculty of Social Sciences (York) > Centre for Health Economics (York)
Depositing User: Pure (York)
Date Deposited: 08 Aug 2023 08:20
Last Modified: 06 Dec 2023 16:02
Published Version: https://doi.org/10.12688/f1000research.27980.1
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.12688/f1000research.27980.1
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