讲座题目：An SIR Contact Tracing Model for Randomly Mixed Populations
讲座时间：2022年6月2日，周四，上午10：00-12：00（北京时间）
腾讯会议：921-251-724 ，
密码：0602
报告人: Junling Ma Professor，University of Victoria
报告摘要：
Contact tracing is an important intervention measure to control infectious diseases. We present a new approach that borrows the edge dynamics idea from network models to track contacts included in a compartmental SIR model for an epidemic spreading in a randomly mixed population. Unlike network models, our approach does not require statistical information of the contact network, data that are usually not readily available. The model resulting from this new approach allows us to study the effect of contact tracing and isolation of diagnosed patients on the control reproduction number and number of infected individuals. We estimate the effects of tracing coverage and capacity on the effectiveness of contact tracing. Our approach can be extended to more realistic models that incorporate latent and asymptomatic compartments.
报告人简介：
Junling Ma, 教授，加拿大维多利亚大学数学与统计学院。于1997年在西安交通大学获得硕士学位，2003年在美国普林斯顿大学获得博士学位。主要通过数学模型研究传染病的动力学和演化，以及传染病在随机网络上的传播。目前已在PNAS，Annals of Internal Medicine, Bulletin of Mathematical biology, Journal of Mathematical Biology, Mathematical Biology, Journal of Theoretical Biology等国际著名SCI杂志发表论文40余篇。
