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Optimal responses to an infectious disease

dc.aueb.notesDOI: 10.13140/RG.2.2.35776.97282en
dc.contributor.degreegrantinginstitutionAthens University of Economics and Business, Department of Informaticsen
dc.creatorMagirou, Evangelosen
dc.creatorΜαγείρου, Ευάγγελοςel
dc.date.accessioned2025-03-26T19:56:31Z
dc.date.available2025-03-26T19:56:31Z
dc.date.issued26-05-2020
dc.description.abstractWe analyze an optimal control version of a simple SIRS epidemiology model. The policy maker can adopt policies to diminish the contact rate between infected and susceptible individuals, at a specific economic cost. The arrival of a vaccine will immediately end the epidemic. Total or partial immunity is modeled, while the contact rate can exhibit a (user specified) seasonality. The problem is solved in a spreadsheet environment. A reasonable parameter selection leads to optimal policies which are similar to those followed by different countries. A mild response relying on eventually reaching a high immunity level is optimal if ample health facilities are available. On the other hand limited health care facilities lead to strict lock downs while moderate ones allow a flattening of the curve approach.en
dc.format.extent18p.
dc.identifierhttps://arxiv.org/abs/2005.12634
dc.identifier.urihttps://pyxida.aueb.gr/handle/123456789/9289
dc.languageen
dc.rightsCC BY-NC-SA: Attribution + Noncommercial + ShareAlike 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectOptimal controlen
dc.subjectCOVID 19en
dc.subjectEpidemiologyel
dc.titleOptimal responses to an infectious diseaseen
dc.typeText

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