About: Safety-Critical Control of Active Interventions for COVID-19 Mitigation

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Safety-Critical Control of Active Interventions for COVID-19 Mitigation
Creator	Ames, Aaron Molnár, Tamás Orosz, Gábor Singletary, Andrew
Source	MedRxiv
abstract	The world has recently undergone the most ambitious mitigation effort in a century, consisting of wide-spread quarantines aimed at preventing the spread of COVID-19. The use of influential epidemiological models of COVID-19 helped to encourage decision makers to take drastic non-pharmaceutical interventions. Yet, inherent in these models are often assumptions that the active interventions are static, e.g., that social distancing is enforced until infections are minimized, which can lead to inaccurate predictions that are ever evolving as new data is assimilated. We present a methodology to dynamically guide the active intervention by shifting the focus from viewing epidemiological models as systems that evolve in autonomous fashion to control systems with an %22input%22 that can be varied in time in order to change the evolution of the system. We show that a safety-critical control approach to COVID-19 mitigation gives active intervention policies that formally guarantee the safe evolution of compartmental epidemiological models. This perspective is applied to current US data on cases while taking into account reduction of mobility, and we find that it accurately describes the current trends when time delays associated with incubation and testing are incorporated. Optimal active intervention policies are synthesized to determine future mitigations necessary to bound infections, hospitalizations, and death, both at national and state levels. We therefore provide means in which to model and modulate active interventions with a view toward the phased reopenings that are currently beginning across the US and the world in a decentralized fashion. This framework can be converted into public policies, accounting for the fractured landscape of COVID-19 mitigation in a safety-critical fashion.
has issue date	2020-06-19(xsd:dateTime)
bibo:doi	10.1101/2020.06.17.20133264
has license	medrxiv
sha1sum (hex)	adc43b78346d812433a40af846faca690c7be200
schema:url	https://doi.org/10.1101/2020.06.17.20133264
resource representing a document's title	Safety-Critical Control of Active Interventions for COVID-19 Mitigation
resource representing a document's body	covid:adc43b78346d812433a40af846faca690c7be200#body_text
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