Post-lockdown abatement of COVID-19 by fast periodic switching.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
01 2021
Historique:
received: 27 07 2020
accepted: 03 12 2020
revised: 04 02 2021
pubmed: 22 1 2021
medline: 20 2 2021
entrez: 21 1 2021
Statut: epublish

Résumé

COVID-19 abatement strategies have risks and uncertainties which could lead to repeating waves of infection. We show-as proof of concept grounded on rigorous mathematical evidence-that periodic, high-frequency alternation of into, and out-of, lockdown effectively mitigates second-wave effects, while allowing continued, albeit reduced, economic activity. Periodicity confers (i) predictability, which is essential for economic sustainability, and (ii) robustness, since lockdown periods are not activated by uncertain measurements over short time scales. In turn-while not eliminating the virus-this fast switching policy is sustainable over time, and it mitigates the infection until a vaccine or treatment becomes available, while alleviating the social costs associated with long lockdowns. Typically, the policy might be in the form of 1-day of work followed by 6-days of lockdown every week (or perhaps 2 days working, 5 days off) and it can be modified at a slow-rate based on measurements filtered over longer time scales. Our results highlight the potential efficacy of high frequency switching interventions in post lockdown mitigation. All code is available on Github at https://github.com/V4p1d/FPSP_Covid19. A software tool has also been developed so that interested parties can explore the proof-of-concept system.

Identifiants

pubmed: 33476332
doi: 10.1371/journal.pcbi.1008604
pii: PCOMPBIOL-D-20-01341
pmc: PMC7861565
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1008604

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Michelangelo Bin (M)

Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.

Peter Y K Cheung (PYK)

Dyson School of Design Engineering, Imperial College London, London, United Kingdom.

Emanuele Crisostomi (E)

Department of Energy, Systems, Territory and Constructions Engineering, University of Pisa, Pisa, Italy.

Pietro Ferraro (P)

Dyson School of Design Engineering, Imperial College London, London, United Kingdom.

Hugo Lhachemi (H)

L2S, CentraleSupélec, Gif-sur-Yvette, France.

Roderick Murray-Smith (R)

School of Computing Science, University of Glasgow, Glasgow, Scotland.

Connor Myant (C)

Dyson School of Design Engineering, Imperial College London, London, United Kingdom.

Thomas Parisini (T)

Department of Electrical and Electronic Engineering, Imperial College London, London, United Kingdom.
Department of Engineering and Architecture, University of Trieste, Trieste, Italy.
KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus.

Robert Shorten (R)

Dyson School of Design Engineering, Imperial College London, London, United Kingdom.
Department of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland.

Sebastian Stein (S)

School of Computing Science, University of Glasgow, Glasgow, Scotland.

Lewi Stone (L)

Mathematics, School of Science, RMIT University, Melbourne, Australia.
Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.

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Classifications MeSH