Key info


Date:
10 December 2020

Authors:
Josh C. D’Aeth, Shubhechyya Ghosal, Fiona Grimm, David Haw, Esma Koca, Krystal Lau, Stefano Moret, Dheeya Rizmie, Sarah Deeny, Pablo N. Perez-Guzman, Neil Ferguson, Katharina Hauck, Peter C Smith, Wolfram Wiesemann, Giovanni Forchini, Marisa Miraldo

1Correspondence:
m.miraldo@imperial.ac.uk

Download the full PDF for Report 40 See all reports

WHO Collaborating Centre for Infectious Disease Modelling, MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), in collaboration with the Imperial College Business School, The Health Foundation and Umeå University.

Now published in Nature Computational Science; 13-08-2021. doi: https://doi.org/10.1038/s43588-021-00111-1  

Summary

Countries have deployed a  wide  range  of  policies  to  prioritize  patients  to  hospital  care  to  address unprecedent surges  in  demand  during  the  course  of  the  pandemic.  Those policies included postponing planned hospital care for non-emergency cases and rationing critical care.

We  developed  a  model  to  optimally schedule  elective  hospitalizations  and  allocate  hospital  general  and critical care beds to planned and emergency patients in England during the pandemic. We apply the model to NHS England data and show that optimized scheduling leads to lower years of life lost and costs than policies that reflect those implemented in England during the pandemic. Overall across all disease areas the model enables an extra 50,750-5,891,608 years of life gained when compared to standard policies, depending on the scenarios. Especially large gains in years of life are seen for neoplasms, diseases of the digestive system, and injuries &poisoning.

Translations

Contact us


For any enquiries related to the MRC Centre please contact:

Scientific Manager
Susannah Fisher
mrc.gida@imperial.ac.uk

External Relationships and Communications Manager
Dr Sabine van Elsland
s.van-elsland@imperial.ac.uk