Uncertainties in the COVID-19 impact assessment are inevitable. In order to understand various approaches to uncertainty and model implications, they need to holistically analyze. An inherently high level of uncertainty is associated with pandemic assessments derived with parametric approaches. While higher degrees of accuracy may be achieved with data-intensive based models, uncertainties are still associated with each step of the process. In particular, uncertainties exist in direct, indirect and long-term reversible impact… Read More