论文标题

COVID-19和经济影响的易感感染的(SIR)动态

Susceptible-Infected-Recovered (SIR) Dynamics of COVID-19 and Economic Impact

论文作者

Toda, Alexis Akira

论文摘要

我估计了2019年冠状病毒疾病的易感感染(SIR)流行模型(Covid-19)。各国的传输速率是异质的,远远超过了回收率,这可以快速传播。在基准模型中,28%的人口可能同时在峰值上感染,这可能会使医疗系统压倒。在控制社会距离的时机和强度的最佳缓解政策下,峰值降低到6.2%。风格化的资产定价模型表明,在基准案例中,股票价格暂时降低50%,但在最佳政策下显示了W形,中等但更长的熊市。

I estimate the Susceptible-Infected-Recovered (SIR) epidemic model for Coronavirus Disease 2019 (COVID-19). The transmission rate is heterogeneous across countries and far exceeds the recovery rate, which enables a fast spread. In the benchmark model, 28% of the population may be simultaneously infected at the peak, potentially overwhelming the healthcare system. The peak reduces to 6.2% under the optimal mitigation policy that controls the timing and intensity of social distancing. A stylized asset pricing model suggests that the stock price temporarily decreases by 50% in the benchmark case but shows a W-shaped, moderate but longer bear market under the optimal policy.

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