Agent-based Simulation for Human Mobility Process of Infectious Diseases

Abstract

Infectious diseases were viewed as a serious threat to human society since ancient times. In the last several decades, a series of approaches has been devised to model epidemiological processes. Human mobility expanding the scope of the distribution of pathogens is a pivotal component of large-scale transmission models of infectious diseases. Correctly, modeling and qualifying human mobility is critical for improving epidemic prevention and control. This article proposes an agent-based epidemic model to simulate human mobility process of infectious diseases. Agent-based model simulate epidemiological processes by angle of micro is more significant than traditional mathematic method. The research findings will provide a more rational basis for epidemic prevention and control.