作者: Francisca Guzmán-Lastra , Ariel Norambuena , Felipe Valencia
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摘要: Together with the universally recognized SIR model, several approaches have been employed to understand contagious dynamics of interacting particles. Here, Active Brownian particles (ABP) are introduced model contagion living agents that spread an infectious disease in space and time. Simulations were performed for population densities rates. Our results show ABP not only reproduces time dependence observed traditional models, but also allows us explore critical densities, radius, random recovery times facilitate virus spread. Furthermore, we derive a first-principles analytical expression rate terms microscopic parameters, without assumption free parameters as classical SIR-based models. This approach offers novel alternative incorporate processes into analysis models applications wide range biological systems