The use of data has been essential throughout the unfolding COVID-19 pandemic. We have
needed it to populate our models, inform our understanding, and shape our responses to the …

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

The estimation of parameters and model structure for informing infectious disease response
has become a focal point of the recent pandemic. However, it has also highlighted a …

The effort for combating the COVID-19 pandemic around the world has resulted in a huge
amount of data, eg, from testing, contact tracing, modelling, treatment, vaccine trials, and …

Mathematical models are established tools to assist in outbreak response. They help
characterise complex patterns in disease spread, simulate control options to assist public …

Predictive models, based upon epidemiological principles and fitted to surveillance data,
play an increasingly important role in shaping regulatory and operational policies for …

The COVID-19 pandemic has seen infectious disease modelling at the forefront of
government decision-making. Models have been widely used throughout the pandemic to …

Epidemic trajectories can be substantially impacted by people modifying their behaviours in
response to changes in their perceived risk of spreading or contracting the disease …

Computational modeling is a commonly used technology in many scientific disciplines and
has played a noticeable role in combating the COVID-19 pandemic. Modeling scientists …

The intersection of mathematical modeling, nanotechnology, and epidemiology marks a
paradigm shift in our battle against infectious diseases, aligning with the focus of the journal …