COVID-19 epidemic control using short-term lockdowns for collective gain
Mauro Bisiacco, Gianluigi Pillonetto

TL;DR
This paper models short-term COVID-19 lockdown strategies using sliding-mode control theory, demonstrating their potential to effectively contain the epidemic while minimizing economic and social disruption.
Contribution
It provides a rigorous mathematical framework for short-term lockdowns, extending the Australian model, and offers insights into optimal timing and duration based on epidemic data.
Findings
Short-term lockdowns can effectively control COVID-19 spread.
Alternating lockdown periods with free intervals can maintain healthcare thresholds.
Model predictions align with data from Italy for practical implementation.
Abstract
While many efforts are currently devoted to vaccines development and administration, social distancing measures, including severe restrictions such as lockdowns, remain fundamental tools to contain the spread of COVID-19. A crucial point for any government is to understand, on the basis of the epidemic curve, the right temporal instant to set up a lockdown and then to remove it. Different strategies are being adopted with distinct shades of intensity. USA and Europe tend to introduce restrictions of considerable temporal length. They vary in time: a severe lockdown may be reached and then gradually relaxed. An interesting alternative is the Australian model where short and sharp responses have repeatedly tackled the virus and allowed people a return to near normalcy. After a few positive cases are detected, a lockdown is immediately set. In this paper we show that the Australian model…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
