Epidemics, such as COVID-19, have caused significant harm to human society worldwide. A better understanding of epidemic transmission dynamics can contribute to more efficient prevention and control measures. Compartmental models, which assume homogeneous mixing of the population, have been widely used in the study of epidemic transmission dynamics, while agent-based models rely on a network definition for individuals. In this study, we developed a real-scale contact-dependent dynamic (CDD) model and combined it with the traditional susceptible-exposed-infectious-recovered (SEIR) compartment model. 

The dataset includes the data of CDD-SEIR model and scripts for calculation and pictures. Because the total size of 9*5=45 trajectories of 40 days is nearly 2T(9*5*40G), only a short trajectory of 1 day is included. Please refer to README.md for more detail.

The data file can be opened by vim. The scripts can be performed by bash, python or gnuplot.