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Research software . Software . 2021

Analysis data and code for "Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England"

Davies, Nicholas G.; Et Al.;
Open Access
English
Published: 25 Feb 2021
Publisher: Zenodo
Abstract
Analysis data and code for: Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England Nicholas G. Davies1†, Sam Abbott1*, Rosanna C. Barnard1*, Christopher I. Jarvis1*, Adam J. Kucharski1*, James D. Munday1*, Carl A. B. Pearson1*, Timothy W. Russell1*, Damien C. Tully1*, Alex D. Washburne2*, Tom Wenseleers3*, Amy Gimma1, William Waites1, Kerry LM Wong1, Kevin van Zandvoort1, Justin D. Silverman4, CMMID COVID-19 Working Group1, The COVID-19 Genomics UK (COG-UK) Consortium5, Karla Diaz-Ordaz6, Ruth Keogh6, Rosalind M. Eggo1, Sebastian Funk1, Mark Jit1, Katherine E. Atkins1,7, W. John Edmunds1 1. Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, UK. 2. Selva Analytics LLC, Bozeman, MT, USA. 3. Lab of Socioecology and Social Evolution, KU Leuven, Leuven, Belgium. 4. College of Information Science and Technology, Pennsylvania State University, University Park, PA, USA. 5. https://www.cogconsortium.uk 6. Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK. 7. Centre for Global Health, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK † Corresponding author. E-mail: nicholas.davies@lshtm.ac.uk * Equal contribution; listed alphabetically https://www.medrxiv.org/content/10.1101/2020.12.24.20248822v2
Subjects by Vocabulary

ACM Computing Classification System: TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY GeneralLiterature_MISCELLANEOUS

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