PLoS Computational Biology (Jan 2021)

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

  • Michelangelo Bin,
  • Peter Y K Cheung,
  • Emanuele Crisostomi,
  • Pietro Ferraro,
  • Hugo Lhachemi,
  • Roderick Murray-Smith,
  • Connor Myant,
  • Thomas Parisini,
  • Robert Shorten,
  • Sebastian Stein,
  • Lewi Stone

DOI
https://doi.org/10.1371/journal.pcbi.1008604
Journal volume & issue
Vol. 17, no. 1
p. e1008604

Abstract

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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.