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Predicting and forecasting the impact of local outbreaks of COVID-19: use of SEIR-D quantitative epidemiological modelling for healthcare demand and capacity.
Campillo-Funollet, Eduard; Van Yperen, James; Allman, Phil; Bell, Michael; Beresford, Warren; Clay, Jacqueline; Dorey, Matthew; Evans, Graham; Gilchrist, Kate; Memon, Anjum; Pannu, Gurprit; Walkley, Ryan; Watson, Mark; Madzvamuse, Anotida.
Afiliación
  • Campillo-Funollet E; School of Life Sciences, Centre for Genome Damage and Stability, University of Sussex, Brighton, UK.
  • Van Yperen J; Department of Mathematics, School of Mathematical and Physical Sciences, University of Sussex, Brighton, UK.
  • Allman P; NHS Sussex Commissioners, Worthing, UK.
  • Bell M; Public Health Intelligence and Adult Social Care, Brighton and Hove City Council, Hove, UK.
  • Beresford W; Planning and Intelligence, Brighton and Hove, Sussex Commissioners, East Sussex, UK.
  • Clay J; Public Health and Social Research Unit, West Sussex County Council, Chichester, West Sussex, UK.
  • Dorey M; Public Health and Social Research Unit, West Sussex County Council, Chichester, West Sussex, UK.
  • Evans G; Public Health Intelligence, East Sussex County Council, St Anne's Crescent, Lewes, UK.
  • Gilchrist K; Public Health Intelligence and Adult Social Care, Brighton and Hove City Council, Hove, UK.
  • Memon A; Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.
  • Pannu G; Sussex Health and Care Partnership, Millview Hospital, Hove, East Sussex, UK.
  • Walkley R; Public Health and Social Research Unit, West Sussex County Council, Chichester, West Sussex, UK.
  • Watson M; Sussex Health and Care Partnership, Lewes, UK.
  • Madzvamuse A; Department of Mathematics, School of Mathematical and Physical Sciences, University of Sussex, Brighton, UK.
Int J Epidemiol ; 50(4): 1103-1113, 2021 08 30.
Article en En | MEDLINE | ID: mdl-34244764
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Epidemiol Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Int J Epidemiol Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido