论文标题
使用Vera解释社会疏远对Covid-19的传播的影响
Using VERA to explain the impact of social distancing on the spread of COVID-19
论文作者
论文摘要
Covid-19继续遍及全国和世界各地。当前管理Covid-19的传播的策略包括社会距离。我们提出了一种交互式AI工具Vera，该工具首先使用户可以指定社会距离对COVID-19的影响的概念模型。然后，Vera自动从概念模型中产生基于代理的仿真，并且给定数据集将自动填充数据中的仿真参数值。接下来，用户可以查看仿真结果，并在需要时修改模拟参数并运行另一个实验试验，或建立替代性概念模型。我们描述了Vera为Covid-19的传播及其与医疗保健能力的关系开发SIR模型的使用。
COVID-19 continues to spread across the country and around the world. Current strategies for managing the spread of COVID-19 include social distancing. We present VERA, an interactive AI tool, that first enables users to specify conceptual models of the impact of social distancing on the spread of COVID-19. Then, VERA automatically spawns agent-based simulations from the conceptual models, and, given a data set, automatically fills in the values of the simulation parameters from the data. Next, the user can view the simulation results, and, if needed, revise the simulation parameters and run another experimental trial, or build an alternative conceptual model. We describe the use VERA to develop a SIR model for the spread of COVID-19 and its relationship with healthcare capacity.
