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报告题目：The importance of quarantine: modelling the COVID-19 testing process
报告时间：2021年11月12日（周六）上午8:40------9:20
报告地点：617-136-818（腾讯会议）
报告人：王林教授
报告人单位：加拿大新布伦瑞克大学
报告人简介：
王林教授，2003年博士毕业于加拿大纽芬兰纪念大学，现任加拿大新布伦瑞克大学教授。山西省“百人计划”入选者、“131”领军人才、加拿大新布伦瑞克大学教授。主要从事应用数学研究，其研究涉及生物数学、生态学、神经网络、优化控制、流行病学等多个领域。主持和参与加拿大国家自然与工程基金、加拿大MITACS基金重点项目、加拿大自然与工程战略项目等6项。已在SIAM J. Appl. Math.、Journal of Differential Equations、Journal of Mathematical Biology、Journal of Theoretical Biology、Mathematical Biosciences、SIAM Journal on Matrix Analysis and Applications等发表论文30余篇，其中多篇论文发表在国际一流学术刊物上(SCI总影响因子约54.7)。论文多次被国际同行引用（总引次数达700余次）。曾荣获青年学者奖、杰出研究奖等多项奖，是美国数学学会特邀评论员，是国际应用数学界的杰出青年学者。
报告摘要：
In this talk, we incorporate the disease state and testing state into the formulation of a COVID-19 epidemic model. For this model, the basic reproduction number is identified and its dependence on model parameters related to the testing process and isolation efficacy is discussed. The relations between the basic reproduction number, the final epidemic and peak sizes, and the model parameters are further explored numerically. We find that fast test reporting does not always benefit the control of the COVID-19 epidemic. Moreover, the final epidemic and peak sizes do not always increase along with the basic reproduction number. Under some circumstances, lowering the basic reproduction number increases the final epidemic and peak sizes. Our findings suggest that properly implementing isolation for individuals who are waiting for their testing results would lower the basic reproduction number as well as the final epidemic and peak sizes.