https://socictopen.socict.org/files/original/cf5e958d31cd3c1d7c56191d613d8017.pdf 12377e3c71547315852317ee5543fef2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Road to recovery: Managing an epidemic. Creator An entity primarily responsible for making the resource Simon Loertscher, Ellen V Muir Description An account of the resource Without widespread immunization, the road to recovery from the current COVID-19 lockdowns will optimally follow a path that finds the difficult balance between the social and economic benefits of liberty and the toll from the disease. We provide an approach that combines epidemiology and economic models, taking as given that the maximum capacity of the healthcare system imposes a constraint that must not be exceeded. Treating the transmission rate as a decreasing function of the severity of the lockdown, we first determine the minimal lockdown that satisfies this constraint using an epidemiology model with a homogeneous population to predict future demand for healthcare. Allowing for a heterogeneous population, we then derive the optimal lockdown policy under the assumption of homogeneous mixing and show that it is characterized by a bang-bang solution. Possibilities such as the capacity of the healthcare system increasing or a vaccine arriving at some point in the future do not substantively impact the dynamically optimal policy until such an event actually occurs. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, SIR models, Capacity constraints, Managing an epidemic Identifier An unambiguous reference to the resource within a given context 10.1016/j.jmateco.2021.102482 Source A related resource from which the described resource is derived Journal of mathematical economics