  In this paper, we propose a novel dynamical system with time delay to
describe the outbreak of 2019-nCoV in China. One typical feature of this
epidemic is that it can spread in latent period, which is therefore described
by the time delay process in the differential equations. The accumulated
numbers of classified populations are employed as variables, which is
consistent with the official data and facilitates the parameter identification.
The numerical methods for the prediction of outbreak of 2019-nCoV and parameter
identification are provided, and the numerical results show that the novel
dynamic system can well predict the outbreak trend so far. Based on the
numerical simulations, we suggest that the transmission of individuals should
be greatly controlled with high isolation rate by the government.
