报 告 人：范 猛

主 持 人：张晓颖

时    间：2019年6月14日9：00

地    点：理学院五楼大数据实验室

主办单位：理学院

报告人简介：

范猛，东北师范大学数学与统计学院二级教授、博士生导师、吉林省首批长白山学者特聘教授、教育部新世纪优秀人才、国务院政府特殊津贴获得者。现任数学与统计学院院长。

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论文百余篇；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；获教育部自然科学奖二等奖、吉林省第七届青年科技奖、宝钢教育奖优秀教师奖、明德教师奖等。2014-2018年连续五年入选“Elsevier中国高被引学者”。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、吉林省数学会秘书长、吉林省工业与应用数学学会副理事长。

观点综述：

Echinococcosis has been recognized as one of the most important helminth zoonosis in China. Available models always consider dogs as the mainly definitive hosts. However, such models ignore the distinctions between domestic dogs and stray dogs. In this study, we propose a 10-dimensional dynamic model distinguishing stray dogs from domestic dogs to explore the special role of stray dogs and potential effects of disposing stray dogs on the transmission of Echinococcosis. The basic reproduction number R0, which measures the impact of bothdomestic dogs and stray dogs on the transmission, is determined to characterize the transmission dynamics. Global dynamic analysis of the model reveals that, without disposing the stray dogs, the Echinococcosis becomes endemic even the domestic dogs are controlled. Moreover, due to the difficulties in estimating the parameters involved in R0 with real data and the limitation of R0 in real-world applications, a new risk assessment tool called relative risk index Iriskis defined for the control of zoonotic diseases, and the studies of the risk assessment for Echinococcosis infection show that it is essential to distinguish stray dogs from domestic dogs in applications.