Optimal responses to an infectious disease
dc.aueb.notes | DOI: 10.13140/RG.2.2.35776.97282 | en |
dc.contributor.degreegrantinginstitution | Athens University of Economics and Business, Department of Informatics | en |
dc.creator | Magirou, Evangelos | en |
dc.creator | Μαγείρου, Ευάγγελος | el |
dc.date.accessioned | 2025-03-26T19:56:31Z | |
dc.date.available | 2025-03-26T19:56:31Z | |
dc.date.issued | 26-05-2020 | |
dc.description.abstract | We 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.extent | 18p. | |
dc.identifier | https://arxiv.org/abs/2005.12634 | |
dc.identifier.uri | https://pyxida.aueb.gr/handle/123456789/9289 | |
dc.language | en | |
dc.rights | CC BY-NC-SA: Attribution + Noncommercial + ShareAlike 4.0 | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/4.0/ | |
dc.subject | Optimal control | en |
dc.subject | COVID 19 | en |
dc.subject | Epidemiology | el |
dc.title | Optimal responses to an infectious disease | en |
dc.type | Text |
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