The COVID-19 pandemic underscores the need for accurate prognostic tools to predict
patient outcomes. This study evaluates the effectiveness of four prominent COVID-19 …

This perspective is part of an international effort to improve epidemiological models with the
goal of reducing the unintended consequences of infectious disease interventions. The …

Computational multi-scale pandemic modelling remains a major and timely challenge. Here
we identify specific requirements for a new class of pandemic models operating across three …

Recurrent waves which are often observed during long pandemics typically form as a result
of several interrelated dynamics including public health interventions, population mobility …

Decisions on public health interventions to control infectious disease are often informed by
computational models. Interpreting the predicted outcomes of a public health decision …

Introduction. The key step in agent-based modeling of epidemics, which allows researchers
to take into account individual characteristics of people, is the creation of an artificial …

UNIS Template Page 1 Oceania Chapter of the System Dynamics Society Systems Thinking
& Modelling Symposium How to quantify pandemic inequality? Prof. Mikhail Prokopenko …

UNIS Template Page 1 “Health vs Economy”: a false choice of pandemic modelling Centre for
Complex Systems School of Computer Science, Faculty of Engineering Sydney Institute for …