管理科学与工程系学术讲座

题目:The transmission characteristics of the COVID-19 pandemic and their implications to mathematical modeling；

COVID-19的传播特征及其对数学建模的启示

演讲人:JunlingMa, Professor,University of Victoria
时间:2020年6月17日上午9:30
参与方式:zoom云视频会议；

会议号: 991 678 01017会议密码: 254926

讲座摘要:

The COVID-19 pandemic has been a major public health challenge around the world. Mathematical models are powerful tools for prediction and intervention evaluation. A key component of mathematical modeling is parameter estimation. In this talk, we will look at how to use data to estimate disease parameters such as the distributions of the incubation period and serial interval, exponential growth rate and reproduction number, using the case descriptions published by Chinese provinces, and the outbreak data in BC, Canada. We will also discuss what parameters can be robustly estimated from the available data, and what cannot. We will summarize with the implications of our results to the development of COVID-19 models.

演讲嘉宾简介:

马君岭(Junling Ma)维多利亚大学数学与统计系教授，2003年博士毕业于普林斯顿大学，师从生物数学家Simon Levin院士，长期从事社会网络、信息传播、疾病建模和控制方面的研究，等方面的研究工作，已经在Nature Communications，Bulletin of Mathematical Biology等杂志发表20多篇论文。