Segmentation and shielding of the most vulnerable members of the population as elements of an exit strategy from COVID-19 lockdown

Author:

van Bunnik Bram A. D.12ORCID,Morgan Alex L. K.2ORCID,Bessell Paul R.3,Calder-Gerver Giles1ORCID,Zhang Feifei1ORCID,Haynes Samuel2,Ashworth Jordan1ORCID,Zhao Shengyuan1ORCID,Cave Roo Nicola Rose2ORCID,Perry Meghan R.4ORCID,Lepper Hannah C.1,Lu Lu1ORCID,Kellam Paul5ORCID,Sheikh Aziz1ORCID,Medley Graham F.6ORCID,Woolhouse Mark E. J.12ORCID

Affiliation:

1. Usher Institute, University of Edinburgh, Edinburgh, UK

2. School of Biological Sciences, University of Edinburgh, Edinburgh, UK

3. The Roslin Institute, University of Edinburgh, Edinburgh, UK

4. Clinical Infection Research Group, Regional Infectious Diseases Unit, Western General Hospital, UK

5. Department of Medicine, Division of Infectious Diseases, Imperial College London, UK

6. Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK

Abstract

This study demonstrates that an adoption of a segmenting and shielding strategy could increase the scope to partially exit COVID-19 lockdown while limiting the risk of an overwhelming second wave of infection. We illustrate this using a mathematical model that segments the vulnerable population and their closest contacts, the ‘shielders’. Effects of extending the duration of lockdown and faster or slower transition to post-lockdown conditions and, most importantly, the trade-off between increased protection of the vulnerable segment and fewer restrictions on the general population are explored. Our study shows that the most important determinants of outcome are: (i) post-lockdown transmission rates within the general and between the general and vulnerable segments; (ii) fractions of the population in the vulnerable and shielder segments; (iii) adherence to protective measures; and (iv) build-up of population immunity. Additionally, we found that effective measures in the shielder segment, e.g. intensive routine screening, allow further relaxations in the general population. We find that the outcome of any future policy is strongly influenced by the contact matrix between segments and the relationships between physical distancing measures and transmission rates. This strategy has potential applications for any infectious disease for which there are defined proportions of the population who cannot be treated or who are at risk of severe outcomes. This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.

Funder

European Commission

Novo Nordisk Foundation Center for Basic Metabolic Research

Wellcome Trust

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology

Reference26 articles.

1. World Health Organisation. 2020 Coronavirus disease 2019 (COVID-19) situation report – 51. Geneva Switzerland: WHO.

2. World Health Organisation. 2020 Coronavirus disease (COVID-2019) situation reports. See https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports (accessed: 26 April 2020).

3. Organisation for Economic Co-operation and Development. 2020 OECD policy responses to coronavirus (COVID-19): evaluating the initial impact of COVID-19 containment measures on economic activity. See https://www.oecd.org/coronavirus/policy-responses/evaluating-the-initial-impact-of-covid-19-containment-measures-on-economic-activity/ (accessed: 26 April 2020).

4. Evaluation of a practical expert defined approach to patient population segmentation: a case study in Singapore

5. British Lung Foundation. 2020 Coronavirus and COVID-19: what is social shielding and who needs to do this? See https://www.blf.org.uk/support-for-you/coronavirus/what-is-social-shielding (accessed: 26 April 2020).

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