突發公共衛生事件的機理建模和分析-COVID-19為例

發布者:系統管理員發布時間👩🏿‍🎓:2024-01-13瀏覽次數👷‍♀️🦹🏽‍♂️:51

時 間🛡:2024年01月13日(周六),8:20-9:50

地 點🕚:騰訊會議:759-517-0738,密碼👨‍👨‍👦📭:654321

報告人🦁:唐彪,西安交通大學特聘研究員

摘要Fluctuations or periodic outbreaks are prevalent phenomena in the dynamics of various infectious diseases. Typically, the examination of the existence and stability of periodic solutions is essential for a comprehensive understanding of epidemic oscillations in the long-term epidemic patterns. In this talk, I will introduce several modeling frameworks and the machine learning-based data-driven approach, to unveil the underlying mechanisms responsible for the generation of periodic oscillations in epidemics of COVID-19 within finite time frames. Our focus extends to identifying key factors that influence the occurrence of multiple epidemic waves. By doing so, we aim to establish a foundation for decision-making processes that can optimize the design of control strategies for major infectious diseases. Through the integration of advanced modeling techniques and data-driven insights, our research endeavors to enhance our grasp of the dynamics of infectious diseases, ultimately contributing to more effective and targeted public health interventions.

個人簡介:唐彪,西安交通大學數學與統計EON4特聘研究員💴,博士生導師🙇🏻‍♂️,中國數學會生物數學專委會委員🔁。2017年9月畢業於西安交通大學,獲理學博士學位🙍🏼。博士期間,受國家留學基金委資助,於加拿大多倫多大學菲爾茲研究所聯合培養兩年。2017.10-2020.09,在加拿大多倫多大學公共衛生EON4和約克大學數學與統計EON4從事博士後研究工作。研究領域是生物數學,關註醫學♋️、公共衛生與數學交叉的熱點問題,在SIAM J Appl Math、Bull Math Biol、J Theoret Biol🧝🏻‍♀️🧑‍💼、Math Biosci、Int J Bifurcat Chao🍐、Vaccine、Appl Math Model等國際知名期刊發表SCI論文40余篇,谷歌學術總引用4100次↙️,2篇ESI高被引論文和1篇ESI熱點論文。主持國家自然科學基金青年項目和面上項目各1項,參與重點項目1項,作為骨幹成員參加國家重點研發計劃項目2項。

 

歡迎廣大師生參加🆖🚴🏽‍♀️!


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