题目：空间传染病的相变：机制和涌现特性（Pattern transitions inspatial epidemics: Mechanisms and emergent properties）
报告人：孙桂全，博士，山西大学复杂系统研究所副教授。SCI期刊《ScientificReports》(Nature旗下期刊)和《PLoSONE》编委，主持国家自然基金项目3项，山西省优秀青年基金1项，参与国家自然科学基金重点项目1项。2014年获得教育部高等学校科学研究优秀成果奖(自然科学)二等奖(排名第三)。
报告时间：2016年9月15日13:00-18:00（周四）
报告地点：beat365手机版官方网站二楼会议室
报告摘要：
Infectiousdiseases are a threat to human health and a hindrance to societal development.Consequently, the spread of diseases in both time and space has been widelystudied, revealing the different types of spatial patterns. Transitions betweenpatterns are an emergent property in spatial epidemics that can serve as apotential trend indicator of disease spread. Despite the usefulness of such anindicator, attempts to systematize the topic of pattern transitions have beenfew and far between. We present a mini-review on pattern transitions in spatialepidemics, describing the types of transitions and their underlying mechanisms.We show that pattern transitions relate to the complexity of spatial epidemicsby, for example, being accompanied with phenomena such as coherence resonanceand cyclic evolution. The results presented herein provide valuable insightsinto disease prevention and control, and may even be applicable outsideepidemiology, including other branches of medical science, ecology,quantitative finance, and elsewhere.