Simulation data for paper Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy

Simulation data of patient reallocation over hospitals or regions. Research objective: determining the benefits of regional re-allocation of COVID-19 patients using stochastic approximation and stochastic programming, type of research: simulation study, method of data collection: simulations, type of data: R datasets

本数据集为医院或区域间患者再调配的仿真数据。研究目标：借助随机逼近（stochastic approximation）与随机规划（stochastic programming）方法，评估新冠患者区域再调配的收益。研究类型：仿真研究。数据采集方式：仿真实验。数据类型：R语言数据集（R datasets）。