报告时间：2020 / 03 / 30（周一）
上午10:00
报告形式：腾讯会议
报告嘉宾：裴森
报告主题：Modeling the Transmission Dynamics of COVID-19 in China and US
报告摘要：In this talk, I will introduce a hierarchy of dynamic models that are widely used to model infectious disease transmission. In particular, I will talk about our recent works on modeling the transmission dynamics of COVID-19 in China and US. We found that, at the beginning of the outbreak, there were substantial undocumented infections that fueled the rapid dissemination of the virus in both countries. We also modeled the effect of potential intervention measures in the United States.
个人简介：Dr. Sen Pei is an Associate Research Scientist in Department of Environmental Health Sciences at Mailman School of Public Health, Columbia University. His research focus is mathematical modeling, statistical inference and real-time forecast of infectious disease spread. His studies have been published in scientific journals including Science, PNAS, Nature Communications and eLife, and reported by press media including the New York Times and MIT Technology Review. He has received the First Prize of Outstanding Research Article Award from the International Society for Disease Surveillance (ISDS) and Calderone Junior Faculty Award from Mailman School of Public Health. He obtained his PhD in Mathematics from Beihang University in 2015, advised by Prof. Zhiming Zheng (member of the Chinese Academy of Sciences).
评论人简介：孙怡帆，中国人民大学统计学院副教授，博士生导师，概率论与数理统计教研室主任，全国工业统计学教学研究会第九届理事会理事。主要研究方向为复杂数据分析、网络分析、最优化方法等，在Statistics in Medicine、统计研究等学术期刊发表论文20余篇。主持国家和省部级等项目6项。