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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/7645
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dc.contributor.authorSamuel, J.-
dc.contributor.authorSinha, Supurna-
dc.date.accessioned2021-01-28T09:30:46Z-
dc.date.available2021-01-28T09:30:46Z-
dc.date.issued2021-01-
dc.identifier.citationPhysical Review E, 2021, Vol.103, L010301en_US
dc.identifier.issn1550-2376 (Online)-
dc.identifier.issn1539-3755-
dc.identifier.urihttp://hdl.handle.net/2289/7645-
dc.descriptionOpen Accessen_US
dc.description.abstractDuring a pandemic, there are conflicting demands that arise from public health and socioeconomic costs. Lockdowns are a common way of containing infections, but they adversely affect the economy. We study the question of how to minimize the socioeconomic damage of a lockdown while still containing infections. Our analysis is based on the SIR model, which we analyze using a clock set by the virus. This use of the “virus time” permits a clean mathematical formulation of our problem.We optimize the socioeconomic cost for a fixed health cost and arrive at a strategy for navigating the pandemic. This involves adjusting the level of lockdowns in a controlled manner so as to minimize the socioeconomic cost.en_US
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.relation.urihttps://journals.aps.org/pre/abstract/10.1103/PhysRevE.103.L010301en_US
dc.relation.uri10.1103/PhysRevE.103.L010301en_US
dc.rights2021 American Physical Societyen_US
dc.titleOptimal control in pandemicsen_US
dc.typeArticleen_US
dc.additionalOpen Accessen_US
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