Data for: Spatial heterogeneity and infection patterns on epidemic transmission disclosed by a combined contact-dependent dynamics and compartmental model

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.