Mathematical modelling and statistical inference provide a framework to evaluate different
non-pharmaceutical and pharmaceutical interventions for the control of epidemics that has
been widely used during the COVID-19 pandemic. In this paper, lessons learned from this
and previous epidemics are used to highlight the challenges for future pandemic control. We
consider the availability and use of data, as well as the need for correct parameterisation
and calibration for different model frameworks. We discuss challenges that arise in …

Challenges for modelling interventions for future pandemics — University of Bristol …
Challenges for modelling interventions for future pandemics … Epidemics …