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Modelling ICU capacity under different epidemiological scenarios of the COVID-19 pandemic in three western European countries

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Title: Modelling ICU capacity under different epidemiological scenarios of the COVID-19 pandemic in three western European countries
Authors: McCabe, R
Kont, M
Schmit, N
Whittaker, C
Lochen, A
Baguelin, M
Knock, E
Whittles, L
Lees, J
Brazeau, N
Walker, P
Ghani, A
Ferguson, N
White, P
Donnelly, C
Hauck, K
Watson, O
Item Type: Journal Article
Abstract: Background: The coronavirus disease 2019 (COVID-19) pandemic has placed enormous strain on intensive care units (ICUs) in Europe. Ensuring access to care, irrespective of COVID-19 status, in winter 2020/21 is essential. Methods: An integrated model of hospital capacity planning and epidemiological projections of COVID-19 patients is used to estimate the demand for and resultant spare capacity of ICU beds, staff, and ventilators under different epidemic scenarios in France, Germany, and Italy across the 2020/21 winter period. The effect of implementing lockdowns triggered by different numbers of COVID-19 patients in ICU under varying levels of effectiveness is examined, using a ‘dual-demand’ (COVID-19 and non-COVID-19) patient model. Results: Without sufficient mitigation, we estimate that COVID-19 ICU patient numbers will exceed those seen in the first peak, resulting in substantial capacity deficits, with beds being consistently found to be the most constrained resource. Reactive lockdowns could lead to large improvements in ICU capacity during the winter season, with pressure being most effectively alleviated when lockdown is triggered early and sustained under a higher level of suppression. The success of such interventions also depends on baseline bed numbers and average non-COVID-19 patient occupancy. Conclusions: Reductions in capacity deficits under different scenarios must be weighed against the feasibility and drawbacks of further lockdowns. Careful, continuous decision-making by national policymakers will be required across the winter period 2020/21.
Issue Date: Jun-2021
Date of Acceptance: 23-Feb-2021
URI: http://hdl.handle.net/10044/1/86106
DOI: 10.1093/ije/dyab034
ISSN: 0300-5771
Publisher: Oxford University Press (OUP)
Start Page: 753
End Page: 767
Journal / Book Title: International Journal of Epidemiology
Volume: 50
Issue: 3
Copyright Statement: © The Author(s) 2021. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Sponsor/Funder: Medical Research Council (MRC)
National Institute for Health Research
Abdul Latif Jameel Foundation
Wellcome Trust
Funder's Grant Number: MR/R015600/1
NIHR200908
221350/Z/20/Z
Keywords: COVID-19
epidemiological modelling
hospital capacity
intensive care
non-pharmaceutical interventions
0104 Statistics
1117 Public Health and Health Services
Epidemiology
Publication Status: Published
Online Publication Date: 2021-04-09
Appears in Collections:Department of Infectious Diseases
Faculty of Medicine
Imperial College London COVID-19
School of Public Health



This item is licensed under a Creative Commons License Creative Commons