Engagement and adherence trade-offs for SARS-CoV-2 contact tracing
Engagement and adherence trade-offs for SARS-CoV-2 contact tracing
Contact tracing is an important tool for allowing countries to ease lockdown policies introduced to combat SARS-CoV-2. For contact tracing to be effective, those with symptoms must self-report themselves while their contacts must self-isolate when asked. However, policies such as legal enforcement of self-isolation can create trade-offs by dissuading individuals from self-reporting. We use an existing branching process model to examine which aspects of contact tracing adherence should be prioritized. We consider an inverse relationship between self-isolation adherence and self-reporting engagement, assuming that increasingly strict self-isolation policies will result in fewer individuals self-reporting to the programme. We find that policies which increase the average duration of self-isolation, or that increase the probability that people self-isolate at all, at the expense of reduced self-reporting rate, will not decrease the risk of a large outbreak and may increase the risk, depending on the strength of the trade-off. These results suggest that policies to increase self-isolation adherence should be implemented carefully. Policies that increase self-isolation adherence at the cost of self-reporting rates should be avoided.
This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
COVID-19, SARS-CoV-2, adherence, case isolation, contact tracing, quarantine
Lucas, Tim
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Davies, Emma
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Ayabina, Diepreye
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Borlase, Anna
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Crellen, Thomas
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Pi, Li
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Medley, Graham
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Yardley, Lucy
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Klepac, Petra
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Gog, Julia
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Hollingsworth, T. Deirdre
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21 July 2021
Lucas, Tim
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Davies, Emma
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Ayabina, Diepreye
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Borlase, Anna
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Crellen, Thomas
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Pi, Li
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Medley, Graham
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Yardley, Lucy
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Klepac, Petra
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Gog, Julia
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Hollingsworth, T. Deirdre
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Lucas, Tim, Davies, Emma, Ayabina, Diepreye, Borlase, Anna, Crellen, Thomas, Pi, Li, Medley, Graham, Yardley, Lucy, Klepac, Petra, Gog, Julia and Hollingsworth, T. Deirdre
(2021)
Engagement and adherence trade-offs for SARS-CoV-2 contact tracing.
Philosophical Transactions of The Royal Society B Biological Sciences, 376 (1829), [20200270].
(doi:10.1098/rstb.2020.0270).
Abstract
Contact tracing is an important tool for allowing countries to ease lockdown policies introduced to combat SARS-CoV-2. For contact tracing to be effective, those with symptoms must self-report themselves while their contacts must self-isolate when asked. However, policies such as legal enforcement of self-isolation can create trade-offs by dissuading individuals from self-reporting. We use an existing branching process model to examine which aspects of contact tracing adherence should be prioritized. We consider an inverse relationship between self-isolation adherence and self-reporting engagement, assuming that increasingly strict self-isolation policies will result in fewer individuals self-reporting to the programme. We find that policies which increase the average duration of self-isolation, or that increase the probability that people self-isolate at all, at the expense of reduced self-reporting rate, will not decrease the risk of a large outbreak and may increase the risk, depending on the strength of the trade-off. These results suggest that policies to increase self-isolation adherence should be implemented carefully. Policies that increase self-isolation adherence at the cost of self-reporting rates should be avoided.
This article is part of the theme issue ‘Modelling that shaped the early COVID-19 pandemic response in the UK’.
Text
2020.08.20.20178558v1.full
- Author's Original
More information
Accepted/In Press date: 24 October 2020
Published date: 21 July 2021
Additional Information:
Publisher Copyright:
© 2021 The Authors.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
COVID-19, SARS-CoV-2, adherence, case isolation, contact tracing, quarantine
Identifiers
Local EPrints ID: 445257
URI: http://eprints.soton.ac.uk/id/eprint/445257
ISSN: 0962-8436
PURE UUID: 5e1f888e-70b3-4bc9-90e1-5a5bc823f36c
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Date deposited: 26 Nov 2020 17:32
Last modified: 06 Jun 2024 01:37
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Contributors
Author:
Tim Lucas
Author:
Emma Davies
Author:
Diepreye Ayabina
Author:
Anna Borlase
Author:
Thomas Crellen
Author:
Li Pi
Author:
Graham Medley
Author:
Petra Klepac
Author:
Julia Gog
Author:
T. Deirdre Hollingsworth
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