442 citations · 628 across the 16 of their papers we have counts for
17 papers
Simulating the impact of perception bias on social contact surveys for infectious disease modelling
Thomas J. Harris, Prescott C. Alexander, Anh B. D. Pham +3
Social contact patterns are a key input to many infectious disease models. Contact surveys, where participants are asked to provide information on their recent close and casual con…
Including frameworks of public health ethics in computational modelling of infectious disease interventions
Alexander E. Zarebski, Nefel Tellioglu, Jessica E. Stockdale +4
Decisions on public health interventions to control infectious disease are often informed by computational models. Interpreting the predicted outcomes of a public health decision r…
Apparent structural changes in contact patterns during COVID-19 were driven by survey design and long-term demographic trends
Thomas Harris, Pavithra Jayasundara, Romain Ragonnet +3
Social contact patterns are key drivers of infectious disease transmission. During the COVID-19 pandemic, differences between pre-COVID and COVID-era contact rates were widely attr…
A microsimulation model of behaviour change calibrated to reversal learning data
Roben Delos Reyes, Hugo Lyons Keenan, Cameron Zachreson
Behaviour change lies at the heart of many observable collective phenomena such as the transmission and control of infectious diseases, adoption of public health policies, and migr…
A model-based assessment of social isolation practices for COVID-19 outbreak response in residential care facilities
Cameron Zachreson, Ruarai Tobin, Camelia Walker +4
Residential aged-care facilities (RACFs, also called long-term care facilities, aged care homes, or nursing homes) have elevated risks of respiratory infection outbreaks and associ…
Correlation of viral loads in disease transmission chains could bias early estimates of the reproduction number
Thomas Harris, Nicholas Geard, Cameron Zachreson
Early estimates of the transmission properties of a newly emerged pathogen are critical to an effective public health response, and are often based on limited outbreak data. Here,…
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…
COVID-19 in low-tolerance border quarantine systems: impact of the Delta variant of SARS-CoV-2
Cameron Zachreson, Freya M. Shearer, David J. Price +4
In controlling transmission of COVID-19, the effectiveness of border quarantine strategies is a key concern for jurisdictions in which the local prevalence of disease and immunity…
Simulating transmission scenarios of the Delta variant of SARS-CoV-2 in Australia
Sheryl L. Chang, Oliver M. Cliff, Cameron Zachreson +1
An outbreak of the Delta (B.1.617.2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic. The ongoing epidemic…
How will mass-vaccination change COVID-19 lockdown requirements in Australia?
Cameron Zachreson, Sheryl L. Chang, Oliver M. Cliff +1
Background: To prevent future outbreaks of COVID-19, Australia is pursuing a mass-vaccination approach in which a targeted group of the population comprising healthcare workers, ag…
Risk mapping for COVID-19 outbreaks in Australia using mobility data
Cameron Zachreson, Lewis Mitchell, Michael J. Lydeamore +3
COVID-19 is highly transmissible and containing outbreaks requires a rapid and effective response. Because infection may be spread by people who are pre-symptomatic or asymptomatic…
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…
Creating a surrogate commuter network from Australian Bureau of Statistics census data
Kristopher M. Fair, Cameron Zachreson, Mikhail Prokopenko
Between the 2011 and 2016 national censuses, the Australian Bureau of Statistics changed its anonymity policy compliance system for the distribution of census data. The new method…
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…
Network patterns in exponentially growing 2D biofilms
Cameron Zachreson, Xinhui Yap, Erin S. Gloag +3
Anisotropic collective patterns occur frequently in the morphogenesis of 2D biofilms. These patterns are often attributed to growth regulation mechanisms and differentiation based…
Emergent pattern formation in an interstitial biofilm
Cameron Zachreson, Christian Wolff, Cynthia B. Whitchurch +1
Collective behavior of bacterial colonies plays critical roles in adaptability, survivability, biofilm expansion and infection. We employ an individual-based model of an interstiti…
Quantum Emission from Defects in Single Crystal Hexagonal Boron Nitride
Toan Trong Tran, Cameron Zachreson, Amanuel Michael Berhane +7
Bulk hexagonal boron nitride (hBN) is a highly nonlinear natural hyperbolic material that attracts major attention in modern nanophotonics applications. However, studies of its opt…