Sensitivity study for a SEIT epidemic model

In this paper we perform a local sensitivity analysis with respect to parameters and initial conditions for a SEIT (susceptible, exposed in the latent period, infectious, and treated/recovery) epidemic model. Applying QR decomposition with column pivoting to the relative sensitivity matrix, we evaluate the relative identifiability and sensitivity of the parameters in the inverse problem, and order the parameters with respect to their identifiability.