About: Social distancing and epidemic resurgence in agent-based Susceptible-Infectious-Recovered models

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About: Social distancing and epidemic resurgence in agent-based Susceptible-Infectious-Recovered models Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Social distancing and epidemic resurgence in agent-based Susceptible-Infectious-Recovered models
Creator	Deng, Shengfeng Louie, Hong Mukhamadiarov, Ruslan Nandi, Riya Priyanka, Serrao, Shannon Täuber, Uwe Yao,
source	ArXiv
abstract	Once an epidemic outbreak has been effectively contained through non-pharmaceutical interventions, a safe protocol is required for the subsequent release of social distancing restrictions to prevent a disastrous resurgence of the infection. We report individual-based numerical simulations of stochastic susceptible-infectious-recovered model variants on four distinct spatially organized lattice and network architectures wherein contact and mobility constraints are implemented. We robustly find that the intensity and spatial spread of the epidemic recurrence wave can be limited to a manageable extent provided release of these restrictions is delayed sufficiently (for a duration of at least thrice the time until the peak of the unmitigated outbreak) and long-distance connections are maintained on a low level (limited to less than five percent of the overall connectivity).
has issue date	2020-06-03(xsd:dateTime)
has license	arxiv
sha1sum (hex)	15f2896e54ba8ed5db5aad874efc6e7c4483e21b
resource representing a document's title	Social distancing and epidemic resurgence in agent-based Susceptible-Infectious-Recovered models
resource representing a document's body	covid:15f2896e54ba8ed5db5aad874efc6e7c4483e21b#body_text
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