ASIR: Robust Agent-based Representation Of SIR Model
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Compartmental models (written as CM) and agent-based models (written as AM) are dominant methods in the field of epidemic simulation. 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.
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