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

There is a continuing debate on relative benefits of various mitigation and suppression strategies aimed to control the spread of COVID-19. Here we report the results of agent-based modelling using a fine-grained computational simulation of the ongoing COVID-19 pandemic in Australia. This model is c...

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Veröffentlicht in:	arXiv.org 2020-11
Hauptverfasser:	Chang, Sheryl L, Harding, Nathan, Cameron Zachreson, Cliff, Oliver M, Prokopenko, Mikhail
Format:	Artikel
Sprache:	eng
Schlagworte:	Air transportation Closures Compliance Computer Science - Multiagent Systems Computer simulation Coronaviruses COVID-19 Disease control Disease transmission Levels Pandemics Quantitative Biology - Populations and Evolution Quantitative Biology - Quantitative Methods Social distancing
Online-Zugang:	Volltext
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