Literature DB >> 33476332

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

Michelangelo Bin1, Peter Y K Cheung2, Emanuele Crisostomi3, Pietro Ferraro2, Hugo Lhachemi4, Roderick Murray-Smith5, Connor Myant2, Thomas Parisini1,6,7, Robert Shorten2,8, Sebastian Stein5, Lewi Stone9,10.   

Abstract

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.

Entities:  

Year:  2021        PMID: 33476332     DOI: 10.1371/journal.pcbi.1008604

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  14 in total

1.  Optimized Lockdown Strategies for Curbing the Spread of COVID-19: A South African Case Study.

Authors:  Laurentz E Olivier; Stefan Botha; Ian K Craig
Journal:  IEEE Access       Date:  2020-11-11       Impact factor: 3.367

2.  Could periodic nonpharmaceutical intervention strategies produce better COVID-19 health and economic outcomes?

Authors:  Raffaele Vardavas; Pedro Nascimento de Lima; Lawrence Baker
Journal:  Policy Complex Sys       Date:  2021

3.  Beyond just "flattening the curve": Optimal control of epidemics with purely non-pharmaceutical interventions.

Authors:  Markus Kantner; Thomas Koprucki
Journal:  J Math Ind       Date:  2020-08-18

4.  Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy.

Authors:  Patrizio Colaneri; Raffaele Bruno; Giulia Giordano; Marta Colaneri; Alessandro Di Filippo; Franco Blanchini; Paolo Bolzern; Giuseppe De Nicolao; Paolo Sacchi
Journal:  Nat Med       Date:  2021-04-16       Impact factor: 53.440

5.  Estimation of exogenous drivers to predict COVID-19 pandemic using a method from nonlinear control theory.

Authors:  Christoph Hametner; Martin Kozek; Lukas Böhler; Alexander Wasserburger; Zhang Peng Du; Robert Kölbl; Michael Bergmann; Thomas Bachleitner-Hofmann; Stefan Jakubek
Journal:  Nonlinear Dyn       Date:  2021-09-06       Impact factor: 5.022

6.  Age structure in SIRD models for the COVID-19 pandemic-A case study on Italy data and effects on mortality.

Authors:  Giuseppe Carlo Calafiore; Giulia Fracastoro
Journal:  PLoS One       Date:  2022-02-24       Impact factor: 3.240

7.  Estimating the generation interval from the incidence rate, the optimal quarantine duration and the efficiency of fast switching periodic protocols for COVID-19.

Authors:  Giuseppe Petrillo; Lucilla de Arcangelis; Eugenio Lippiello
Journal:  Sci Rep       Date:  2022-03-17       Impact factor: 4.379

8.  Optimal intervention strategies to mitigate the COVID-19 pandemic effects.

Authors:  Andreas Kasis; Stelios Timotheou; Nima Monshizadeh; Marios Polycarpou
Journal:  Sci Rep       Date:  2022-04-12       Impact factor: 4.379

Review 9.  Data-driven methods for present and future pandemics: Monitoring, modelling and managing.

Authors:  Teodoro Alamo; Daniel G Reina; Pablo Millán Gata; Victor M Preciado; Giulia Giordano
Journal:  Annu Rev Control       Date:  2021-06-29       Impact factor: 6.091

10.  Influence of state reopening policies in COVID-19 mortality.

Authors:  Ka-Ming Tam; Nicholas Walker; Juana Moreno
Journal:  Sci Rep       Date:  2022-01-31       Impact factor: 4.379

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