About: Pandemic Control in ECON-EPI Networks

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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
title	Pandemic Control in ECON-EPI Networks
Creator	Azzimonti, Marina Fabrizio, Alessandra Ponder, Perri
source	MedRxiv
abstract	We develop an ECON-EPI network model to evaluate policies designed to improve health and economic outcomes during a pandemic. Relative to the standard epidemiological SIR set-up, we explicitly model social contacts among individuals and allow for heterogeneity in their number and stability. In addition, we embed the network in a structural economic model describing how contacts generate economic activity. We calibrate it to the New York metro area during the 2020 COVID-19 crisis and show three main results. First, the ECON-EPI network implies patterns of infections that better match the data compared to the standard SIR. The switching during the early phase of the pandemic from unstable to stable contacts is crucial for this result. Second, the model suggests the design of smart policies that reduce infections and at the same time boost economic activity. Third, the model shows that reopening sectors characterized by numerous and unstable contacts (such as large events or schools) too early leads to fast growth of infections.
has issue date	2020-08-22(xsd:dateTime)
bibo:doi	10.1101/2020.08.19.20178087
has license	medrxiv
sha1sum (hex)	f16843fc3bc5937b608ce1ec62bfad27171ae1d9
schema:url	https://doi.org/10.1101/2020.08.19.20178087
resource representing a document's title	Pandemic Control in ECON-EPI Networks
resource representing a document's body	covid:f16843fc3bc5937b608ce1ec62bfad27171ae1d9#body_text
is schema:about of	named entity 'economic activity' named entity 'pandemic' named entity 'develop' named entity 'unstable' named entity 'calibrate' »more»

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