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  • [\'School of Life Sciences, Centre for Genome Damage and Stability, University of Sussex, Brighton, UK.\', \'Department of Mathematics, School of Mathematical and Physical Sciences, University of Sussex, Brighton, UK.\', \'NHS Sussex Commissioners, Worthing, UK.\', \'Public Health Intelligence and Adult Social Care, Brighton and Hove City Council, Hove, UK.\', \'Planning and Intelligence, Brighton and Hove, Sussex Commissioners, East Sussex, UK.\', \'Public Health and Social Research Unit, West Sussex County Council, Chichester, West Sussex, UK.\', \'Public Health Intelligence, East Sussex County Council, St Anne\'s Crescent, Lewes, UK.\', \'Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.\', \'Sussex Health and Care Partnership, Millview Hospital, Hove, East Sussex, UK.\', \'Sussex Health and Care Partnership, Lewes, UK.\']
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?:doi
  • 10.1093/ije/dyab106
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  • International journal of epidemiology
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  • 34244764
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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.
?:type
?:year
  • 2021

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