About: Optimal control of COVID-19 infection rate with social costs

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Optimal control of COVID-19 infection rate with social costs
Creator	Liu, Shan Zabinsky, Zelda Palmer, Aaron
source	ArXiv
abstract	The COVID-19 pandemic has posed a policy making crisis where efforts to slow down or end the pandemic conflict with economic priorities. This paper provides mathematical analysis of optimal disease control policies with idealized compartmental models for disease propagation and simplistic models of social and economic costs. The optimal control strategies are categorized as 'suppression' and 'mitigation' strategies and are analyzed in both deterministic and stochastic models. In the stochastic model, vaccination at an uncertain time is taken into account.
has issue date	2020-07-27(xsd:dateTime)
has license	arxiv
sha1sum (hex)	042a6dfb4201fbcd7c5c414865d3739ec4ba9619
resource representing a document's title	Optimal control of COVID-19 infection rate with social costs
resource representing a document's body	covid:042a6dfb4201fbcd7c5c414865d3739ec4ba9619#body_text
is schema:about of	named entity 'CONFLICT' named entity 'STRATEGIES' named entity 'WHERE' named entity 'eigenvalues' named entity 'Jacobian' »more»

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