442 citations · 521 across the 5 of their papers we have counts for
5 papers
The effects of local homogeneity assumptions in metapopulation models of infectious disease
Cameron Zachreson, Sheryl Chang, Nathan Harding +1
Computational models of infectious disease can be broadly categorized into two types: individual-based (Agent-based), or compartmental models. While compartmental models can be str…
Modelling transmission and control of the COVID-19 pandemic in Australia
Sheryl L. Chang, Nathan Harding, Cameron Zachreson +2
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-base…
Investigating Spatiotemporal Dynamics and Synchrony of Influenza Epidemics in Australia: An Agent-Based Modelling Approach
Oliver M. Cliff, Nathan Harding, Mahendra Piraveenan +3
In this paper we present ACEMod, an agent-based modelling framework for studying influenza epidemics in Australia. The simulator is designed to analyse the spatiotemporal spread of…
Thermodynamic efficiency of contagions: A statistical mechanical analysis of the SIS epidemic model
Nathan Harding, Ramil Nigmatullin, Mikhail Prokopenko
We present a novel approach to the study of epidemics on networks as thermodynamic phenomena, considering the thermodynamic efficiency of contagions, considered as distributed comp…
Urbanization affects peak timing, prevalence, and bimodality of influenza pandemics in Australia: results of a census-calibrated model
Cameron Zachreson, Kristopher M. Fair, Oliver M. Cliff +3
We examine salient trends of influenza pandemics in Australia, a rapidly urbanizing nation. To do so, we implement state-of-the-art influenza transmission and progression models wi…