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

Sheryl L. Chang; Nathan Harding; Cameron Zachreson; Oliver M. Cliff; Mikhail Prokopenko

doi:10.1038/s41467-020-19393-6

Nature Communications (Nov 2020)

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

Sheryl L. Chang,
Nathan Harding,
Cameron Zachreson,
Oliver M. Cliff,
Mikhail Prokopenko

Affiliations

Sheryl L. Chang: Centre for Complex Systems, Faculty of Engineering, University of Sydney
Nathan Harding: Centre for Complex Systems, Faculty of Engineering, University of Sydney
Cameron Zachreson: Centre for Complex Systems, Faculty of Engineering, University of Sydney
Oliver M. Cliff: Centre for Complex Systems, Faculty of Engineering, University of Sydney
Mikhail Prokopenko: Centre for Complex Systems, Faculty of Engineering, University of Sydney

DOI: https://doi.org/10.1038/s41467-020-19393-6
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 13

Abstract

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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.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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