Search Results for author: Helena B. Stage

Found 4 papers, 2 papers with code

EpiBeds: Data informed modelling of the COVID-19 hospital burden in England

no code implementations12 Oct 2021 Christopher E. Overton, Lorenzo Pellis, Helena B. Stage, Francesca Scarabel, Joshua Burton, Christophe Fraser, Ian Hall, Thomas A. House, Chris Jewell, Anel Nurtay, Filippo Pagani, Katrina A. Lythgoe

In order to predict the effect of the local epidemic on hospital capacity in England, we used a variety of data streams to inform the construction and parameterisation of a hospital progression model, which was coupled to a model of the generalised epidemic.

Shut and re-open: the role of schools in the spread of COVID-19 in Europe

no code implementations25 Jun 2020 Helena B. Stage, Joseph Shingleton, Sanmitra Ghosh, Francesca Scarabel, Lorenzo Pellis, Thomas Finnie

By comparing the growth rates in daily hospitalisations or confirmed cases under different interventions, we provide evidence that the effect of school closure is visible as a reduction in the growth rate approximately 9 days after implementation.

Using statistics and mathematical modelling to understand infectious disease outbreaks: COVID-19 as an example

1 code implementation11 May 2020 Christopher E. Overton, Helena B. Stage, Shazaad Ahmad, Jacob Curran-Sebastian, Paul Dark, Rajenki Das, Elizabeth Fearon, Timothy Felton, Martyn Fyles, Nick Gent, Ian Hall, Thomas House, Hugo Lewkowicz, Xiaoxi Pang, Lorenzo Pellis, Robert Sawko, Andrew Ustianowski, Bindu Vekaria, Luke Webb

During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and designing policy.

Populations and Evolution Physics and Society

Challenges in control of Covid-19: short doubling time and long delay to effect of interventions

1 code implementation31 Mar 2020 Lorenzo Pellis, Francesca Scarabel, Helena B. Stage, Christopher E. Overton, Lauren H. K. Chappell, Katrina A. Lythgoe, Elizabeth Fearon, Emma Bennett, Jacob Curran-Sebastian, Rajenki Das, Martyn Fyles, Hugo Lewkowicz, Xiaoxi Pang, Bindu Vekaria, Luke Webb, Thomas House, Ian Hall

Early assessments of the spreading rate of COVID-19 were subject to significant uncertainty, as expected with limited data and difficulties in case ascertainment, but more reliable inferences can now be made.

Populations and Evolution

Cannot find the paper you are looking for? You can Submit a new open access paper.