About: Modelling transmission and control of the COVID-19 pandemic in Australia

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Modelling transmission and control of the COVID-19 pandemic in Australia
Creator	Prokopenko, Mikhail Chang, Sheryl Cliff, Oliver Harding, Nathan Zachreson, Cameron
source	ArXiv
abstract	We develop an agent-based model for a fine-grained computational simulation of the ongoing COVID-19 pandemic in Australia. This model is calibrated to reproduce key characteristics of COVID-19 transmission. An important calibration outcome is the age-dependent fraction of symptomatic cases, with this fraction for children found to be one-fifth of such fraction for adults. We apply the model to compare several intervention strategies, including restrictions on international air travel, case isolation, home quarantine, social distancing with varying levels of compliance, and school closures. School closures are not found to bring decisive benefits, unless coupled with high level of social distancing compliance. We report several trade-offs, and an important transition across the levels of social distancing compliance, in the range between 70% and 80% levels, with compliance at the 90% level found to control the disease within 13--14 weeks, when coupled with effective case isolation and international travel restrictions.
has issue date	2020-03-23(xsd:dateTime)
has license	arxiv
sha1sum (hex)	a3ec2c34f77f54f03fdc1e60db040ede8a93a03a
resource representing a document's title	Modelling transmission and control of the COVID-19 pandemic in Australia
resource representing a document's body	covid:a3ec2c34f77f54f03fdc1e60db040ede8a93a03a#body_text
is schema:about of	named entity 'duration' named entity 'social distancing' named entity 'generation' named entity 'incidence' named entity 'sustained' »more»

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