activity
20162025
most citedModelling transmission and control of the COVID-19 pandemic in Australia

442 citations · 628 across the 16 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

4 papers · 1 filter

physics.soc-ph2025★ 1 cited

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…

physics.soc-ph2024★ 1 cited

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…

physics.soc-ph2020★ 60 cited

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…

physics.soc-ph2018★ 78 cited

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…