Forecasting COVID-19 and Analyzing the Effect of Government Interventions
提出一种结合政府干预建模、非线性优化和传染病模型的DELPHI方法，用于预测COVID-19传播，并量化封锁措施的效果，同时提供情景分析工具辅助决策。
Statement: Starting in December 2019, the COVID-19 pandemic is an unprecedented humanitarian crisis with millions of deaths worldwide. In “Forecasting COVID-19 and Analyzing the Effect of Government Interventions“, M. L. Li, H. Tazi Bouardi, O. Skali Lami, T. Trikalinos, N. Trichakis, and D. Bertsimas proposed a novel epidemiological model, DELPHI, that combined a novel modeling of government interventions, nonlinear optimization, and compartmental epidemiology models to forecast COVID-19 spread. They used DELPHI to demonstrate how lockdowns reduced the transmission by nearly 80%, whereas earlier societal action could have saved more than 75% of the lives lost in many countries. They also created a scenario analysis toolkit that utilized DELPHI’s modeling of interventions to generate “what if” scenarios under different future interventions. Janssen Pharmaceuticals utilized this toolkit to select optimized locations for the Phase III trial of their COVID-19 vaccine, leading to a trial acceleration of 8 weeks and saving thousands of lives.