Neufeld Zoltan, Khataee Hamid, Czirok Andras
School of Mathematics and Physics, The University of Queensland, St. Lucia, Brisbane, QLD, 4072, Australia.
Department of Biological Physics, Eotvos University, Budapest, 1053, Hungary.
Infect Dis Model. 2020 Jun 5;5:357-361. doi: 10.1016/j.idm.2020.04.003. eCollection 2020.
We investigate the effects of social distancing in controlling the impact of the COVID-19 epidemic using a simple susceptible-infected-removed epidemic model. We show that an alternative or complementary approach based on targeted isolation of the vulnerable sub-population may provide a more efficient and robust strategy at a lower economic and social cost within a shorter timeframe resulting in a collectively immune population.
我们使用一个简单的易感-感染-康复传染病模型，研究了社交距离在控制新冠疫情影响方面的作用。我们表明，基于对脆弱亚群体进行有针对性隔离的替代或补充方法，可能会在更短时间内以更低的经济和社会成本提供一种更有效、更稳健的策略，从而使人群获得集体免疫。
