As part of an MRC funded project “Mathematical modelling and adaptive control to inform real time decision making for the COVID-19 pandemic at the local, regional and national scale”, our team at Zeeman Institute:SBIDER (Systems Biology & Infectious Disease Epidemiology Research) is using real time data on the UK COVID-19 outbreak to provide robust predictions, gauging the ability of a model to predict future epidemic behaviour. We are investigating how our short- and long-term predictions change during an outbreak as more information becomes available, how this may effect forecasts of the appropriate control measures that could be introduced and when and how such policies should be relaxed. Finally, taking into account the potential for future waves of infection, we may use our models to examine adaptive control policies that can be implemented to reduce the number of deaths as a result of the COVID-19 outbreak and to minimise the impact on the health service.
- Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study.
Sam Moore, Edward M. Hill, Michael J Tildesley, Louise Dyson, Matt J. Keeling. (2021)
Lancet Infectious Disease. doi:10.1016/S1473-3099(21)00143-2
- Predictions of COVID-19 dynamics in the UK: short-term forecasting and analysis of potential exit strategies.
Matt J. Keeling, Edward M. Hill, , , , , , , , (2021)
PLoS Computational Biology 17(1):e1008619.doi:10.1371/journal.pcbi.1008619
- Coughs, Colds and "Freshers' Flu" Survey in the University of Cambridge, 2007-2008
, , , , , , (2021)
- Comparison between one and two dose SARS-CoV-2 vaccine prioritisation for a fixed number of vaccine doses.
, Matt J Keeling. (2021)
- Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model
Julia R Gog, , Leon Danon, . (2021)
- SARS-CoV-2 infection in UK university students: Lessons from September-December 2020 and modelling insights for future student return.
, , Helena B Stage*, Kirsty J Bolton* Emily J Nixon, Emma Fairbanks, Maria L Tang, Ellen Brooks-Pollock, Louise Dyson, Chris J Budd, Rebecca B Hoyle, Lars Schewe, Julia R Gog, Michael J Tildesley. (2021)
Isaac Newton Institute Preprint Series. (∗ denotes joint first authors)
- Assessing the impact of secondary school reopening strategies on within-school COVID-19 transmission and absences: a modelling study
, , , , . (2021)
- An analysis of school absences in England during the Covid-19 pandemic
, , , , , , , , . (2021)
- A network modelling approach to assess non-pharmaceutical disease controls in a worker population: An application to SARS-CoV-2
Edward M. Hill, Benjamin D. Atkins, Matt J. Keeling, Louise Dyson, Michael J Tildesley. (2020)
- Modelling SARS-CoV-2 transmission in a UK university setting
Edward M. Hill, Benjamin D. Atkins, Matt J. Keeling, Michael J Tildesley, Louise Dyson. (2020)
- Precautionary breaks: planned, limited duration circuit breaks to control the prevalence of COVID-19
Matt J. Keeling, , , Louise Dyson, Michael J Tildesley, Edward M. Hill, Graham F Medley. (2020)
- Modelling optimal vaccination strategy for SARS-CoV-2 in the UK.
Sam Moore, Edward M. Hill, Louise Dyson, Michael J Tildesley, Matt J. Keeling. (2020)
- Fitting to the UK COVID-19 outbreak, short-term forecasts and estimating the reproductive number.
Matt J. Keeling, , , Malcolm G Semple, ISARIC4C Investigators, , Edward M. Hill. (2020)
- The impact of school reopening on the spread of COIVD-19 in England.
Matt J. Keeling, , Benjamin D Atkins, , Emma Southall, , , , , Edward M. Hill, (2020)