About: Universal Features of Epidemic Models Under Social Distancing Guidelines

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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	Universal Features of Epidemic Models Under Social Distancing Guidelines
Creator	Greene, James Sontag, Eduardo Sadeghi, Mahdiar
Source	BioRxiv
abstract	Different epidemiological models, from the classical SIR system to more sophisticated ones involving population compartments for socially distanced, quarantined, infection aware, asymptomatic infected, and other individuals, share some remarkable dynamic characteristics when contact rates are subject to periodic or one-shot changes. In simple pulsed isolation policies, a linear relationship is found among optimal start time and duration for reduction of the infected peak. If a single interval social distancing starts too early or too late it will be ineffective with respect to decreasing the peak of infection. On the other hand, the nonlinearity of epidemic models leads to non-monotone behavior of the peak of infected population under periodic relaxation policies. This observation led us to hypothesize that an additional single interval social distancing at a proper time can significantly decrease the infected peak of periodic policies, and we verified this improvement.
has issue date	2020-06-22(xsd:dateTime)
bibo:doi	10.1101/2020.06.21.163931
has license	biorxiv
sha1sum (hex)	ab6bcf99f47aef2fcfaaeb674a6a7436a575581e
schema:url	https://doi.org/10.1101/2020.06.21.163931
resource representing a document's title	Universal Features of Epidemic Models Under Social Distancing Guidelines
schema:publication	bioRxiv
resource representing a document's body	covid:ab6bcf99f47aef2fcfaaeb674a6a7436a575581e#body_text
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