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dc.contributor.authorShalev-Shwartz, Shai
dc.contributor.authorShashua, Amnon
dc.date.accessioned2020-04-15T18:46:56Z
dc.date.available2020-04-15T18:46:56Z
dc.date.issued2020-04-15
dc.identifier.urihttps://hdl.handle.net/1721.1/124669
dc.description.abstractWe propose an exit strategy from the COVID-19 lockdown, which is based on a risk-sensitive levels of social distancing. At the heart of our approach is the realization that the most effective, yet limited in number, resources should protect those at high risk rather than applied uniformly across the population. By generalizing the SEIR model to mixed populations, and based on existing data in Israel, we present an analysis of the maximal load on the health system and the total mortality. We argue that risk-sensitive resource allocation combined with risk-sensitive levels of social distancing enables to lower the overall mortality toll in parallel to resumption of economic activity.en_US
dc.description.sponsorshipThis work was supported by the Center for Brains, Minds and Machines (CBMM), funded by NSF STC award CCF-1231216.en_US
dc.publisherCenter for Brains, Minds and Machines (CBMM)en_US
dc.relation.ispartofseriesCBMM Memo;106
dc.titleAn Exit Strategy from the Covid-19 Lockdown based on Risk-sensitive Resource Allocationen_US
dc.typeTechnical Reporten_US
dc.typeWorking Paperen_US
dc.typeOtheren_US


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