学术报告一
报告题目: Transmission dynamics and optimal control of brucellosis in Inner Mongolia of China （中国内蒙古布鲁氏菌病的传播动态及优化控制）
报 告 人： 范猛 教授（东北师范大学数学与统计学院）
报告时间：2018年10月26日（星期五）下午16：00-17：00
报告地点：数学与统计学院学术报告厅（25教14楼）
参加人员：教师、研究生、本科生
Abstract A multigroup model is developed to characterize brucellosis transmission, to explore potential effects of key factors, and to prioritize control measures. The global threshold dynamics are completely characterized by theory of asymptotic autonomous systems and Lyapunov direct method. We then formulate a multi-objective optimization problem and, by the weighted sum method, transform it into a scalar optimization problem on minimizing the total cost for control. The existence of optimal control and its characterization are well established by Pontryagin's Maximum Principle. We further parameterize the model and compute optimal control strategy for Inner Mongolia in China. In particular, we expound the effects of sheep recruitment, vaccination of sheep, culling of infected sheep, and health education of human on the dynamics and control of brucellosis. This study indicates that current control measures in Inner Mongolia are not working well and Brucellosis will continue to increase. The main finding here supports opposing unregulated sheep breeding
报告人简介：范猛教授1972年8月出生于辽宁省黑山县。东北师范大学教授、博士生导师、吉林省首批长白山学者特聘教授。现任数学与统计学院院长、校招生办公室主任。出版学术专著1部，联合主编国际学术会议论文集及进展特刊4部，发表SCI论文70余篇，主持省部级以上科研项目10项，其中国家自然科学基金项目5项、教育部博士点基金（博导类）1项、教育部新世纪优秀人才支持计划项目1项、教育部科学技术研究重点项目1项。连续四年入选“Elsevier中国高被引学者”。获国务院政府特殊津贴、教育部自然科学奖二等奖、第六届秦元勋数学奖、吉林省第七届青年科技奖、宝钢教育奖优秀教师奖、明德教师奖、吉林省高等教育教学成果二等奖；入选教育部新世纪优秀人才支持计划、吉林省杰出青年科学研究计划；被评为吉林省有突出贡献中青年专业技术人才、吉林省教书育人楷模、吉林省拔尖创新人才、吉林省首批学科领军教授、吉林省高级专家、吉林省高校优秀党务工作者。现任4种国际期刊及《生物数学学报》编委、中国数学会生物数学专业委员会副理事长、吉林省工业与应用数学学会副理事长、吉林省数学会秘书长、吉林省运筹学会常务理事。
学术报告二
报告题目: Measuring the impact of air pollution on respiratory infection risk in China （中国空气污染对呼吸感染风险影响评估）
报 告 人： 唐三一 教授（陕西师范大学数学与信息科学学院）
报告时间：2018年10月26日（星期五）下午17：00-18：00
报告地点：数学与统计学院学术报告厅（25教14楼）
参加人员：教师、研究生、本科生
Abstract China is now experiencing major public health challenges caused by air pollution, and there are many challenges to quantify the dynamics of air pollution and its impact on the risk of respiratory infection. This talk we would like to present our recent work on this topic, and to show an integrated data analysis to quantify the association among air quality index (AQI), meteorological variables and respiratory infection risk in Shaanxi province of China in the period of November 15th, 2010 to November 14th, 2016. Our analysis illustrated a statistically significantly positive correlation between the number of influenza-like illness (ILI) cases and AQI, and the respiratory infection risk has increased progressively with increased AQI with a time lag of 0-3 days. We also developed mathematical models (deterministic and stochastic models) for the AQI trend and respiratory infection dynamics, incorporating AQI-dependent incidence and AQI-based behaviour change interventions. Our combined data, model identification and theoretical analysis estimated the basic reproduction number for the respiratory infection during the studying period to be 2.4076, higher than the basic reproduction number of the 2009 pandemic influenza in the same province. Moreover, some novel methods have been developed for the SDE model, and the switching points related to the smog seasons have been estimated. Our modelling-based simulations concluded that, in terms of respiratory infection risk reduction, the persistent control of emission in the China's blue-sky programme is much more effective than substantial social-economic interventions implemented only during the smog days. Finally, I would like to mention that the non-smooth Filippov system could also be used to model the smog season and non-smog season (switching system), and then to analyze its dynamics.and suggests vaccination and health education as the preferred necessary emergency intervention control. The policymakers must take a new look at the current control strategy, and, in order to control brucellosis better in Inner Mongolia, the governments have to preemptively press ahead with more effective measures.
报告人简介：唐三一教授 2003年中国科学院数学所获得博士学位，2003-2007年在英国Warwick大学从事基因调控网络识别、数据分析的交叉学科研究。此后先后到加拿大、美国、日本、德国、法国等国知名大学从事合作研究或作大会特邀报告，建立了广泛的国际合作关系。主要从事生物数学和生物统计学研究，提出了一系列重要的建模思想，发展了新的理论分析技巧、模型辨识和数值研究方法。发表SCI论文100多篇，被SCI杂志引用超过2100次，连续四年入选Elsevier 中国"高被引"学者榜单。完成或主持数理、信息、医学等不同学部国家自然科学基金5项（4项面上和1项中美生物医学国际合作），参与1项国家自然科学基金重点项目（第二参与人），研究成果获陕西省自然科学二等奖1项（第一完成人）。三次应邀出席生物数学国际大会并作大会特邀报告，部分研究得到中国日报、加拿大环球邮报、Elesvier出版社等国内外媒体的广泛报道，在公共卫生领域产生了深远的社会影响。2018
