Research Article

Modeling Chickenpox Dynamics with a Discrete Time Bayesian Stochastic Compartmental Model

Table 2

Fitting and forecast RMSE for the proposed model and four alternative formulations of the SEIR model: a stochastic model in discrete time with a deterministic seasonal transmission rate, a deterministic model in discrete time with a seasonal transmission rate, and two deterministic continuous-time formulations, one with heterogeneous and the other with homogeneous mixing of individuals.

Model Fitting RMSE Forecast RMSE

Proposed model 4.41 64.24
SMDT-DTR 89.08 73.32
DMDT 106.79 80.27
DMCT 135.09 106.71
DMCT-Homo 229.26 309.89