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特邀加拿大蒙特利尔大学Jacques Bélair教授作线上学术报告

发布日期:2020-04-23

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报告题目:Modeling of dynamics and control of infectious diseases: latency and interactions

报告时间:2020423日(周六)上午8:30—9:10

报 告 人:Jacques Bélair教授

报告地点:Zoom云会议(ID932 1144 3567, 密码:nanxinda60

报告摘要:In investigating the dynamics of a disease such as COVID-19, its mathematical representation can be constructed at many levels of details, guided by the questions the model tries to help answer. Mathematical sophistication may have to yield to a more pragmatic approach closer to the ability to make predictions that inform public health policies. With that in mind, I will present circumstances in which benefit can be gained from the explicit incorporation of latent period, for both short- and long-term predictions.

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 数学与统计学院

2020423

附:专家简介

Jacques Bélair is Full Professor in the department of mathematics and statistics at Université de Montréal, which he joined in 1983 as an Assistant Research Professor. He had previously obtained a PhD in applied mathematics from Cornell University (supervisor: Philip J Holmes) and worked as an NSERC postdoctoral fellow in the Department of Physiology at McGill University (supervisor: Leon Glass). He has served as associate director of the Centre de recherches mathématiques (CRM) and was also vice-dean of the Faculty of Graduate and Postdoctoral Studies; he was President of the Canadian Applied and Industrial Mathematics Society (CAIMS) from 2009 to 2011, and co-chaired the Organizing Committee of the Annual Meeting of the Society for Mathematical Biology (SMB) in 2019.

His research concerns mathematical modeling of dynamic regulatory processes in biology. In the past, he has been interested in various aspects of cardiac arrhythmias and motor control; currently, he is studying the control of blood cell production (hematopoiesis) and associated pharmaceutical interventions, and the propagation of infectious diseases in general, and COVID-19 in particular. He is affiliated with the Centre for Disease Modeling (CDM) based at York University and the Centre for Applied Mathematics in Bioscience and Medicine (CAMBAM) of McGill University. (www.dms.umontreal.ca/~belair)



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