ASIR: Robust Agent-based Representation Of SIR Model

But in the literature there lacks discussion on how to build the quantitative relationship between them. In this paper, we propose an agent-based SIR model: ASIR. ASIR can robustly reproduce the infection curve predicted by a given SIR model (the simplest CM.) Notably, one can deduce any parameter of ASIR from parameters of SIR without manual tuning. ASIR offers epidemiologists a method to transform a calibrated SIR model into an agent-based model that inherit SIR's performance without another round of calibration. The design ASIR is inspirational for building a general quantitative relationship between CM and AM.