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The optimal strategy for relaxing restrictions during COVID-19 epidemic

发布时间:2022-04-13 作者: 浏览次数:
Speaker: 肖艳妮 DateTime: 2022年4月16号(周六)下午2:30-4:30
Brief Introduction to Speaker:

肖燕妮 西安交通大学数学与统计学院副院长、数学与生命科学交叉研究中心主任、博士生导师。主要从事数据和问题驱动的传染病动力学的研究。 参与完成了国家十一五十二五和“十三五”科技重大专项艾滋病领域的建模研究。受国家自然基金委天元基金的资助,2014年、2015年连续两年承办全国生物数学研究生暑期学校。主持国家自然科学基金4项,其中重点项目1项。2008入选教育部“新世纪优秀人才支持计划”,2017年至今任中国生物数学专业委员会副主任,2020年获陕西最美科技工作者,2020年起任国务院学位委员会第八届学科评议组成员(数学)。

Place: 腾讯会议号: 549 641 384
Abstract:The COVID-19 pandemic has forced us to resort to a series of nonpharmaceutical interventions (NPIs), such as social distancing, travel restrictions and quarantine and isolations, to mitigate the spread of the SARS-CoV-2 virus. With the reduction of the epidemic situation, when and where travel restrictions can be lifted, and how to organize orderly movement patterns become critical. In this talk, I shall present our recent work. We define a novel diffusion distance, based on which we provide a general model to describe the spatiotemporal spread of infectious diseases with a random diffusion process and a deterministic drift process of the population. We consequently develop a multi-source data fusion method to determine the population flow in epidemic areas. To verify our model and method, we analyze the multisource data and obtain a new travel flux triggering scheme in the selected 29 cities with the most active population movements in mainland China. The testable predictions in ...