Fernández-Villaverde Jesús, Jones Charles I
University of Pennsylvania.
Stanford GSB.
J Econ Dyn Control. 2022 Jul;140:104318. doi: 10.1016/j.jedc.2022.104318. Epub 2022 Jan 29.
We use data on deaths in New York City, Madrid, Stockholm, and other world cities as well as in various U.S. states and other regions and countries to estimate, quickly and with limited data, a standard epidemiological model of COVID-19. We allow for a time-varying contact rate in order to capture behavioral and policy-induced changes associated with social distancing. We simulate the model forward to consider possible scenarios for various countries, states, and cities, including the potential impact of herd immunity on re-opening.
我们利用纽约市、马德里、斯德哥尔摩以及其他世界城市,还有美国各个州和其他地区及国家的死亡数据,在数据有限的情况下快速估算出一个新冠肺炎的标准流行病学模型。我们考虑了随时间变化的接触率,以捕捉与社交距离相关的行为和政策引发的变化。我们对该模型进行向前模拟,以考虑各个国家、州和城市可能出现的情况,包括群体免疫对重新开放的潜在影响。