Modelling behavioral changes in disease transmission dynamics

发布者:系统管理员发布时间:2023-09-15浏览次数:122

时间:2023年9月15日,10:00

地点:1C207

主讲人: 肖燕妮  教授  西安交通大学

摘要:

There are many challenges to quantifying and evaluating the impact of behavior changes on the disease spread and control. In this talk, we propose several mathematical models to fully investigate impact of behavioral changes on transmission dynamics of infectious diseases. Initially, I proposed the model with nonlinear incidence rate with/without delays to represent the effect of individuals’ psychological and behavioral changes. We apply this modelling approach to examine media impact on control of Covid-19 infection based on the multisource data.  Then we proposed a multi-scale model which explicitly models both the disease transmission and information transmission to evaluate the effect of behavior changes on dynamic behaviors. Finally, I include the imitation dynamics to investigate how behavior changes, vaccination and relaxation of non-NPIs affect the development of COVID-19 infections. Finally I shall give some considerations and thoughts on modelling behavioral changes.

主讲人简介:

肖燕妮,博导,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、中国数学会生物数学专业委员会主任、陕西科技创新领军人才。主要从事非光滑动力学模型、多尺度系统、脉冲微分方程、反应扩散方程理论研究;生物医学大数据建模与分析、新发重大传染病的预测预警研究等等。 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。与北京同仁医院和中国军事医学科学院合作完成了医院感染动力学的研究。主持国家自然科学基金4项,其中重点项目1项。

 

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