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.
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Nature Publishing Group
2020-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-19393-6 |
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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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