A computational approach to identifiability analysis for a model of the propagation and control of COVID-19 in Chile
Description
A computational approach is adapted to analyze the parameter identifiability of a compartmental model. The model is intended to describe the progression of the COVID-19 pandemic in Chile during the initial phase in early 2020 when government declared
