About: Planning as Inference in Epidemiological Models

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Planning as Inference in Epidemiological Models
Creator	Adamścibior, Beronov, Boyan Harvey, William Masrani, Vaden Naderiparizi, Saeid Nasseri, Ali Warrington, Andrew Weilbach, Christian Wood, Frank
topic	covid:f258db675e79a68176fac3ca4d65b0cf873a13f4#this
Source	ArXiv
abstract	In this work we demonstrate how existing software tools can be used to automate parts of infectious disease-control policy-making via performing inference in existing epidemiological dynamics models. The kind of inference tasks undertaken include computing, for planning purposes, the posterior distribution over putatively controllable, via direct policy-making choices, simulation model parameters that give rise to acceptable disease progression outcomes. Neither the full capabilities of such inference automation software tools nor their utility for planning is widely disseminated at the current time. Timely gains in understanding about these tools and how they can be used may lead to more fine-grained and less economically damaging policy prescriptions, particularly during the current COVID-19 pandemic.
has issue date	2020-03-30(xsd:dateTime)
has license	arxiv
sha1sum (hex)	f258db675e79a68176fac3ca4d65b0cf873a13f4
resource representing a document's title	Planning as Inference in Epidemiological Models
resource representing a document's body	covid:f258db675e79a68176fac3ca4d65b0cf873a13f4#body_text
is http://vocab.deri.ie/void#inDataset of	https://covidontheweb.inria.fr:4443/about/id/http/ns.inria.fr/covid19/f258db675e79a68176fac3ca4d65b0cf873a13f4
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