Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions.

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Bibliographic Details
Title: Statistical and agent-based modelling of the transmissibility of different SARS-CoV-2 variants in England and impact of different interventions.
Authors: Panovska-Griffiths J; The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford.; The Queen's College, University of Oxford, Oxford., Swallow B; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK., Hinch R; The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford., Cohen J; Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA., Rosenfeld K; Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA., Stuart RM; University of Copenhagen, Copenhagen, Denmark., Ferretti L; The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford., Di Lauro F; The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford., Wymant C; The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford., Izzo A; Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA., Waites W; Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK.; Department of Computer and Information Sciences, University of Strathclyde, G1 1XH Glasgow, UK., Viner R; UCL Great Ormond St. Institute of Child Health, University College London, London, UK., Bonell C; Department of Public Health, Environments & Society, London School of Hygiene and Tropical Medicine, London, UK., Fraser C; The Big Data Institute and the Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford., Klein D; Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA., Kerr CC; Institute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, WA, USA.
Corporate Authors: COVID-19 Genomics UK (COG-UK) Consortium; https://www.cogconsortium.uk.
Source: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences [Philos Trans A Math Phys Eng Sci] 2022 Oct 03; Vol. 380 (2233), pp. 20210315. Date of Electronic Publication: 2022 Aug 15.
Publication Type: Journal Article
Journal Info: Publisher: The Royal Society Country of Publication: England NLM ID: 101133385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2962 (Electronic) Linking ISSN: 1364503X NLM ISO Abbreviation: Philos Trans A Math Phys Eng Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2962
DOI:10.1098/rsta.2021.0315