主讲人简介：

扬州大学二级教授、博士研究生导师、中国数学会生物数学专业委员会副主任、《生物数学学报》和《Int. J. Biomath.》杂志编委。主要研究偏微分方程，先后主持国家自然科学基金面上项目6项。

内容摘要：

This talk extends the classic SEAIR and delay IJR epidemic systems to studytwo models of covid-19 prevention and control. A staged and weighted network systemis firstly formulated, and five stages have been taken into consideration accordingto four-tier response to Public Health Crisis. Staggered basic reproduction numberhas been derived and we evaluate the effectiveness of lockdown and social distancingpolicies under different scenarios in mainland China. Secondly, a new model is proposedto mimic the Zero-COVID strategy applied in Yangzhou. The novel dynamic model withtime-delays describing isolation and large-scale detection is established by distinguishinginfected persons in communities and centralized isolation areas. Using numericalsimulations, we compare the scenarios under different control modes and levels.The qualitative and quantitative results provide insightful reference for decision-makingif the Zero-COVID policy and trace-test-quarantine strategy is adopted.

主持人：秦玉明