Designing social distancing policies for the COVID-19 pandemic: a probabilistic model predictive control approach

DOI10.3934/MBE.2022409OpenAlexW4285250021MaRDI QIDQ2688573

Antonios Armaou, Lucia Russo, Bryce Katch, Constantinos I. Siettos

Publication date: 3 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2202.00924

zbMATH Keywords

forecastingmodel predictive controlsocial distancingCOVID-19 pandemicsocial mixingGoogle mobility reportsLombardy Italy

Mathematics Subject Classification ID

Epidemiology (92D30) Stochastic systems in control theory (general) (93E03) Model predictive control (93B45)

Cites Work

• Robust hybrid predictive control of nonlinear systems
• Bounded noises in physics, biology, and engineering
• Retrospective analysis of interventions to epidemics using dynamic simulation of population behavior
• Effects of latency and age structure on the dynamics and containment of COVID-19
• Predictive control of switched nonlinear systems with scheduled mode transitions

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