摘要：In this work, a dynamic model of infection and virus amplification in vero cell cultures targeting vaccine production is proposed. In contrast with previous works, the model describes the process dynamics as functions of the whole living (uninfected and infected) biomass. The dynamic model is based on a slow-fast approximation where the infected biomass is considered as evolving faster than other variables. The resulting model contains unknown parameters that are inferred from datasets collected from an actual vaccine production process. Parameter identification is complemented by a sensitivity analysis and the determination of confidence intervals for the parameters and predicted trajectories. Results are in general in good agreement with the experimental data.
