Publisher
Elsevier
Abstract
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 plethora of challenges remaining in the fast and
robust extraction of information using data and models to help inform policy. In this paper, we identify and
discuss four broad challenges in the estimation paradigm relating to infectious disease modelling, namely the
Uncertainty Quantification framework, data challenges in estimation, model-based inference and prediction, and
expert judgement. We also postulate priorities in estimation methodology to facilitate preparation for future
pandemics.
Year
2022
Category
Refereed journal