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The Sussex COVID-19 Modelling Cell: the methods and successes of a collaboration between public health teams in local authorities, NHS hospital trusts, NHS commissioners, and universities.
Van Yperen, James; Campillo-Funollet, Eduard; Memon, Anjum; Allman, Phil; Clay, Jacqueline; Dorey, Matt; Evans, Graham; Gilchrist, Kate; Madzvamuse, Anotida.
Afiliación
  • Van Yperen J; Department of Mathematics, University of Sussex, Brighton, UK.
  • Campillo-Funollet E; Department of Mathematics and Statistics, Lancaster University, Lancaster, UK.
  • Memon A; Brighton and Sussex Medical School, Brighton, UK. Electronic address: a.memon@bsms.ac.uk.
  • Allman P; Performance and Intelligence, NHS Sussex, Worthing, UK.
  • Clay J; Public Health and Social Research Unit, West Sussex County Council, Chichester, UK.
  • Dorey M; Public Health and Social Research Unit, West Sussex County Council, Chichester, UK.
  • Evans G; Public Health Intelligence, East Sussex County Council, Lewes, UK.
  • Gilchrist K; Public Health Intelligence and Adult Social Care, Brighton and Hove City Council, Brighton, UK.
  • Madzvamuse A; Department of Mathematics, University of Sussex, Brighton, UK; Department of Mathematics, University of British Columbia, Vancouver, Canada; Department of Mathematics, University of Johannesburg, Johannesburg, South Africa.
Lancet ; 402 Suppl 1: S94, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37997141

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Lancet Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Límite: Humans Idioma: En Revista: Lancet Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido