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Segmentation and shielding of the most vulnerable members of the population as elements of an exit strategy from COVID-19 lockdown.
van Bunnik, Bram A D; Morgan, Alex L K; Bessell, Paul R; Calder-Gerver, Giles; Zhang, Feifei; Haynes, Samuel; Ashworth, Jordan; Zhao, Shengyuan; Cave, Roo Nicola Rose; Perry, Meghan R; Lepper, Hannah C; Lu, Lu; Kellam, Paul; Sheikh, Aziz; Medley, Graham F; Woolhouse, Mark E J.
  • van Bunnik BAD; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Morgan ALK; School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Bessell PR; School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Calder-Gerver G; The Roslin Institute, University of Edinburgh, Edinburgh, UK.
  • Zhang F; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Haynes S; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Ashworth J; School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Zhao S; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Cave RNR; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Perry MR; School of Biological Sciences, University of Edinburgh, Edinburgh, UK.
  • Lepper HC; Clinical Infection Research Group, Regional Infectious Diseases Unit, Western General Hospital, UK.
  • Lu L; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Kellam P; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Sheikh A; Department of Medicine, Division of Infectious Diseases, Imperial College London, UK.
  • Medley GF; Usher Institute, University of Edinburgh, Edinburgh, UK.
  • Woolhouse MEJ; Centre for Mathematical Modelling of Infectious Disease, London School of Hygiene and Tropical Medicine, London, UK.
Philos Trans R Soc Lond B Biol Sci ; 376(1829): 20200275, 2021 07 19.
Article in English | MEDLINE | ID: covidwho-1309693
Preprint
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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'.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0275

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Europa Language: English Journal: Philos Trans R Soc Lond B Biol Sci Year: 2021 Document Type: Article Affiliation country: Rstb.2020.0275