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

There is ongoing debate about the effective combination of strategies for COIVD-19 control. Here, the authors use an agent-based model to quantify and compare several intervention strategies, and identify minimal levels of social distancing compliance required to control the epidemic in Australia.

Bibliographic Details
Main Authors: Sheryl L. Chang, Nathan Harding, Cameron Zachreson, Oliver M. Cliff, Mikhail Prokopenko
Format: Article
Language:English
Published: Nature Publishing Group 2020-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19393-6
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spelling doaj-47cc401f09b14293afdbbc0ee5487dca2021-05-11T08:03:57ZengNature Publishing GroupNature Communications2041-17232020-11-0111111310.1038/s41467-020-19393-6Modelling transmission and control of the COVID-19 pandemic in AustraliaSheryl L. Chang0Nathan Harding1Cameron Zachreson2Oliver M. Cliff3Mikhail Prokopenko4Centre for Complex Systems, Faculty of Engineering, University of SydneyCentre for Complex Systems, Faculty of Engineering, University of SydneyCentre for Complex Systems, Faculty of Engineering, University of SydneyCentre for Complex Systems, Faculty of Engineering, University of SydneyCentre for Complex Systems, Faculty of Engineering, University of SydneyThere is ongoing debate about the effective combination of strategies for COIVD-19 control. Here, the authors use an agent-based model to quantify and compare several intervention strategies, and identify minimal levels of social distancing compliance required to control the epidemic in Australia.https://doi.org/10.1038/s41467-020-19393-6
collection DOAJ
language English
format Article
sources DOAJ
author Sheryl L. Chang
Nathan Harding
Cameron Zachreson
Oliver M. Cliff
Mikhail Prokopenko
spellingShingle Sheryl L. Chang
Nathan Harding
Cameron Zachreson
Oliver M. Cliff
Mikhail Prokopenko
Modelling transmission and control of the COVID-19 pandemic in Australia
Nature Communications
author_facet Sheryl L. Chang
Nathan Harding
Cameron Zachreson
Oliver M. Cliff
Mikhail Prokopenko
author_sort Sheryl L. Chang
title Modelling transmission and control of the COVID-19 pandemic in Australia
title_short Modelling transmission and control of the COVID-19 pandemic in Australia
title_full Modelling transmission and control of the COVID-19 pandemic in Australia
title_fullStr Modelling transmission and control of the COVID-19 pandemic in Australia
title_full_unstemmed Modelling transmission and control of the COVID-19 pandemic in Australia
title_sort modelling transmission and control of the covid-19 pandemic in australia
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-11-01
description There is ongoing debate about the effective combination of strategies for COIVD-19 control. Here, the authors use an agent-based model to quantify and compare several intervention strategies, and identify minimal levels of social distancing compliance required to control the epidemic in Australia.
url https://doi.org/10.1038/s41467-020-19393-6
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