Gregory J Fox 1, 2, James M Trauer 3, Emma McBryde 4 Coronavirus disease 2019 (COVID-
19) poses extraordinary challenges for health care in Australia. One of the greatest will be …

Background The ability of global health systems to cope with increasing numbers of COVID-
19 cases is of major concern. In readiness for this challenge, Australia has drawn on clinical …

Background After the declaration of COVID-19 pandemic on March 11th, 2020, local
transmission chains starting in different countries including Canada are forcing governments …

During the past forty years, statistical modelling and simulation have come to frame
perceptions of epidemic disease and to determine public health interventions that might limit …

Background Our purpose is to assess epidemiological agent‐based models—or ABMs—of
the SARS‐CoV‐2 pandemic methodologically. The rapid spread of the outbreak requires …

A recent manuscript (Ferguson et al. in Impact of non-pharmaceutical interventions (NPIs) to
reduce COVID-19 mortality and healthcare demand, Imperial College COVID-19 Response …

The COVID-19 pandemic presented an immediate need for the Irish Government to
establish modelling capacity in order to inform public health decision making. A broad …

Objective To use mathematical models to predict the epidemiological impact of lifting the
lockdown in London, UK, and alternative strategies to help inform policy in the UK. Methods …

Mathematical modelling and statistical inference provide a framework to evaluate different
non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has …

The current COVID-19 pandemic has resulted in the unprecedented development and
integration of infectious disease dynamic transmission models into policy making and public …