COVID-19流行病的二次量化方法
Second quantization approach to COVID-19 epidemic
摘要：
我们展示了如何使用基于创建和湮灭算子的标准场论语言直接推导COVID-19流行病的SIR型随机模型，从中我们获得了传染（活动病例）和死亡个体平均数量的时间演化。为了捕捉封锁和社交距离的影响，我们使用了时间依赖的感染率。结果与韩国三次不同流行活动波的数据吻合良好。
英文摘要：
We show how the standard field theoretical language based on creation and annihilation operators may be used for a straightforward derivation of an SIR-type stochastic model for COVID-19 epidemic, from which we obtain the time evolution of the mean number of infectious (active cases) and deceased individuals. In order to capture the effects of lockdown and social distancing, we use a time-dependent infection rate. The results are in good agreement with the data for three different waves of epidemic activity in South Korea.
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