About: COVID-19: A Data-Driven Mean-Field-Type Game Perspective

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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	COVID-19: A Data-Driven Mean-Field-Type Game Perspective
Creator	Tembine, Hamidou
source	MedRxiv
abstract	In this article, a class of mean-field-type games with discrete-continuous state spaces is considered. We establish Bellman systems which provide sufficiency conditions for mean-field-type equilibria in state-and-mean-field-type feedback form. We then derive unnormalized master adjoint systems (MASS). The methodology is shown to be flexible enough to capture multi-class interaction in epidemic propagation in which multiple authorities are risk-aware atomic decision-makers and individuals are risk-aware non-atomic decision-makers. Based on MASS, we present a data-driven modelling and analytics for mitigating Coronavirus Disease 2019 (COVID-19). The model integrates untested cases, age-structure, decision-making, gender, pre-existing health conditions, location, testing capacity, hospital capacity, mobility map on local areas, in-city, inter-cities, and international. It shown that the data-driven model can capture most of the reported data on COVID-19 on confirmed cases, deaths, recovered, number of testing and number of active cases in 66+ countries. The model also reports non-Gaussianity and non-exponential properties in 15+ countries.
has issue date	2020-07-24(xsd:dateTime)
bibo:doi	10.1101/2020.07.23.20160853
has license	medrxiv
sha1sum (hex)	e2c07822562b6fd8fcf088227a593dfa137f43bd
schema:url	https://doi.org/10.1101/2020.07.23.20160853
resource representing a document's title	COVID-19: A Data-Driven Mean-Field-Type Game Perspective
resource representing a document's body	covid:e2c07822562b6fd8fcf088227a593dfa137f43bd#body_text
is schema:about of	named entity 'epidemic' named entity 'Mean-Field' named entity 'COVID-19' named entity 'COVID-19' named entity 'asymptomatic' »more»

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