The new type of coronavirus (COVID-19) is an acute respiratory infection caused by a coronavirus infection. Since the first case was confirmed, people’s social and economic lives have been greatly disrupted. Although the governments have introduced a series of preventative actions to curb the spread of the epidemic, the situation throughout the entire world is still relatively severe.
Based on the complex network theory, an SEIR dynamic model of the COVID-19 epidemic on the county-level is established in this project. The full model was built and simulated based on the data on Los Angeles County since January. In the model, the population was divided into four scenarios. Finally, according to this current model, a prediction of the future growing tendency of the different periods was made, which might show a clear performance of the spreading of the disease.