Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England

• Christopher E. Overton ,

  Contributed equally to this work with: Christopher E. Overton, Luke Webb

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: christopher.overton@manchester.ac.uk

  Affiliations Department of Mathematics, University of Manchester, Manchester, United Kingdom, Clinical data science unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/, Cambridge, United Kingdom, Department of Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom, Data, Analytics and Surveillance, UK Health Security Agency, London, United Kingdom

  https://orcid.org/0000-0002-8433-4010

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• Luke Webb ,

  Contributed equally to this work with: Christopher E. Overton, Luke Webb

  Roles Conceptualization, Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

  Affiliation Department of Mathematics, University of Manchester, Manchester, United Kingdom

  https://orcid.org/0000-0001-6263-0575

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• Uma Datta,

  Roles Data curation

  Affiliation Care Quality Commission, London, United Kingdom

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• Mike Fursman,

  Roles Data curation

  Affiliation Care Quality Commission, London, United Kingdom

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• Jo Hardstaff,

  Roles Data curation, Writing – review & editing

  Affiliation Field Service, National Infection Service, Public Health England, London, United Kingdom

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• Iina Hiironen,

  Roles Data curation

  Affiliation Field Service, National Infection Service, Public Health England, London, United Kingdom

  https://orcid.org/0000-0002-9714-1488

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• Karthik Paranthaman,

  Roles Data curation, Writing – review & editing

  Affiliation Field Service, National Infection Service, Public Health England, London, United Kingdom

  https://orcid.org/0000-0002-5633-8559

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• Heather Riley,

  Roles Writing – original draft, Writing – review & editing

  Affiliation Department of Mathematics, University of Manchester, Manchester, United Kingdom

  https://orcid.org/0000-0001-6133-9292

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• James Sedgwick,

  Roles Data curation, Writing – review & editing

  Affiliation Field Service, National Infection Service, Public Health England, London, United Kingdom

  https://orcid.org/0000-0002-7200-4559

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• Julia Verne,

  Roles Writing – review & editing

  Affiliations Adult Social Care Team, Public Health England, London, United Kingdom, Office for Health Improvement and Disparities, Department of Health and Social Care, London, United Kingdom

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• Steve Willner,

  Roles Conceptualization

  Affiliation Adult Social Care Team, Public Health England, London, United Kingdom

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• Lorenzo Pellis,

  Roles Methodology, Writing – review & editing

  Affiliations Department of Mathematics, University of Manchester, Manchester, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/, Cambridge, United Kingdom, Department of Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom, Alan Turing Institute, London, United Kingdom

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• Ian Hall

  Roles Data curation, Methodology, Writing – original draft, Writing – review & editing

  Affiliations Department of Mathematics, University of Manchester, Manchester, United Kingdom, Clinical data science unit, Manchester University NHS Foundation Trust, Manchester, United Kingdom, Joint UNIversities Pandemic and Epidemiological Research, https://maths.org/juniper/, Cambridge, United Kingdom, Emergency Preparedness, Health Protection Division, Public Health England, London, United Kingdom, Alan Turing Institute, London, United Kingdom

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