报告题目：Modeling COVID-19 dynamics: From within-host to between-host

报告时间：2020年11月21日（周六），上午9：30-11：00（北京时间）

腾讯会议：858 106 933 ，密码：1121

报告人: 荣礼彬，副教授，美国佛罗里达大学

报告摘要：

The infection by SARS‑CoV‑2 has caused an ongoing COVID‑19 pandemic. Although a large number of modeling studies have shed light on the transmission dynamics of COVID-19 at the population level, the within-host viral dynamics of SARS-CoV-2 infection have rarely been quantitatively investigated. In this talk, I will present models based on different assumptions to study the within-host virus dynamics of SARS-CoV-2 infection and compare with the viral load data in infected patients and non-human primates collected from different countries. The infection in some individuals undergoes several distinct stages including a plateau phase in which the viral load does not decline or even rebounds after a minor decline from the peak. This may explain the hyperinflammatory responses and high transmissibility of COVID-19. The adaptive immune response may play a critical role in the recovery from infection, whereas a late and slow initiation of seroconversion may lead to viral persistence. I will also introduce a multi-scale model that links the within-host and between-host dynamics. This work may improve our understanding of the epidemiological triad of pathogen, host, and environment for COVID-19.

报告人简介：

    荣礼彬副教授1996年至2003年在复旦大学获得数学学士和硕士学位，2007年在美国Purdue大学数学系获得博士学位，2007-2009在美国洛斯-阿拉马斯 (Los Alamos) 国家实验室做博士后研究员。2010-2017年在美国Oakland大学数学系和生物医学中心工作，先后担任助理教授、副教授(2014)，自2017年8月至今任美国佛罗里达大学数学系副教授。研究领域包括生物数学、病毒动力系统、免疫学建模以及数学传染病学等，近年来他在病毒动力学及其在生物医学方面的应用研究方面取得重要进展，论文获得美国能源部国家实验室的2012年Leon Heller奖和2014年美国奥克兰大学Marian Wilson奖。2013年获得奥克兰大学最佳研究奖。2014年获得美国自然科学基金会资助青年科学家的最高奖励---NSF CAREER Award。相关论文发表在包括科学杂志子刊Science Translational Medicine，PNAS，BMC Medicine, PLoS Computational Biology，Proc. R. Soc. B，SIAM J. Appl. Math.等知名学术期刊上。目前担任《Bulletin of Mathematical Biology》、《Mathematical Biosciences》等多个杂志编委。