中心定位：数学与生命科学交叉中心聚焦于我国重大疾病诊断、健康评估和重大或突发性传染病防治中亟待解决的关键科学问题，研究疾病发生、演化和防治中的数学模型、多尺度数据分析和参数估计、高维系统的数值计算等，旨在发展重大疾病发生、演化和防治中的数学模型基础理论和分析方法，为国家公共卫生、疾病防控等部门的决策提供咨询与建议，为国内外应用数学、统计、计算、医学和公共卫生与预防医学等多学科的交叉研究与学术交流提供合作平台与创新基地，使得我国生物数学的理论研究和应用水平进入国际先进行列。
Positioning: Focusing on key scientific issues that must be solved in the diagnosis of major diseases, health assessment, and the prevention and treatment of serious or merging infectious diseases in China, the Interdisciplinary Center for Mathematics and Life Sciences conducts researches on mathematical models, multi-scale data analysis and parameter estimation in the occurrence, evolution and prevention of diseases, the numerical calculation of high-dimensional systems and so on, and develops basic theories and analysis methods of mathematical models in the occurrence, evolution and prevention of serious diseases, with the aim of providing consultation and suggestions for the decision-making of national public health and disease prevention and control departments, and providing cooperation platform and innovation base for crossover researches and academic exchanges in applied mathematics, statistics, computing, medicine, and public health and preventive medicine at home and abroad, thus bringing the theoretical research and application level of biomathematics of China to the international advanced level.
人员组成：数学与生命科学交叉中心聚集了数学、应用统计学、信息科学、公共卫生与预防医学等学科领域的研究力量，目前主要人员构成如下：
Staffing:The Interdisciplinary Center for Mathematics and Life Sciences has a group of researchers in the fields of mathematics, applied statistics, information science, and public health and preventive medicine. The main members are listed below:
· 专职人员：肖燕妮、周义仓、祖建、李丽敏、乔琛、李义宝、叶凯、孙小丹、程晓青
Full-time staff: Xiao Yanni, Zhou Yicang, Zu Jian, Li Limin, Qiao Chen, Li Yibao, Ye Kai, Sun Xiaodan, and Cheng Xiaoqing
· 合作人员：中国疾病控制与预防中心性艾中心汪宁教授、首席科学家邵一鸣教授、中国军事医学科学院韩黎教授。
Collaborators: Prof. Wang Ning from NCAIDS/STD, Prof. Shao Yiming (Chief Scientist of NCAIDS/STD), and Prof. Han Li from the Academy of Military Medical Sciences.
代表性成果：数学与生命科学交叉中心在国家自然科学基金重点、面上基金及国家有关肝病和艾滋病领域重大专项等项目支持下，经过十余年的不懈努力，对疾病的发生、演化和重大传染病防治中的科学问题有了深刻的认识，形成了解决问题的一系列理论、方法与技术。受国家自然科学基金委员会天元基金的资助，2014年、2015年连续两年承办全国“生物数学研究生暑期学校”。目前正在联合陕西师范大学、中国疾控中心性艾中心合作研究多尺度生物系统和数据分析的重点项目。建立动力学模型和统计模型分阶段深入地研究了COVID-19疫情传播风险、发展趋势预测、复工复学对疫情二次爆发的影响等关键科学问题，为科学防疫 、评价防控措施的有效性提供了定量的依据。估计的其他突发性传染病的基本再生数，成为国际社会评判中国疫情严重程度的重要依据；首次揭示了媒体报道对突发性传染病疫情防控具有时效性，得到了中外媒体的广泛关注。得到了HIV感染者和艾滋病病人的流动模式，为疾病中心掌握他们的活动去向提供了详细的信息，为基于地域的防治策略和优化医疗资源配置提供了支撑，有着重要的指导意义，并得到了公共卫生专家的高度认可。通过建立传播动力学模型和参数估计等方法，准确预测了我国乙肝病毒的流行趋势和防治效果，为我国疾病预防控制中心制定“十四五规划”提供了定量参考和对策建议。开发了一系列基因组测序数据分析解决方案，部分成果作为该领域的核心方法，被广泛使用。
Representative achievements: Supported by the projects such as the key and general projects of the National Natural Science Foundation of China, and other major national special projects in the fields of liver diseases and AIDS, the Interdisciplinary Center for Mathematics and Life Sciences has got a deep understanding of the occurrence and evolution of the diseases and the major scientific problems in the prevention and treatment of serious infectious diseases and established a series of theories, methods and techniques for solving the problems with more than ten years of unremitting efforts. Funded by the Tianyuan Fund of the National Natural Science Foundation of China, the Center hosted the " Summer School for Graduate Students in Biomathematics" in 2014 and 2015 consecutively. The Center is cooperating with Shaanxi Normal University and the NCAIDS/STD on key projects of multi-scale biological systems and data analysis. The Center, by establishing dynamic models and statistical models, has conducted in-depth researches on key scientific issues such as the transmission risk of COVID-19 epidemic, development trend prediction, and the impact of resumption of work and school on the second outbreak of the epidemic in phase, providing a quantitative basis for scientific epidemic prevention and evaluation of the effectiveness of prevention and control measures. The basic reproduction number of other emerging infectious diseases estimated by the Center has become an important basis for the international community to judge the severity of the epidemic in China; and it revealed that media reports have timeliness for the prevention and control of sudden infectious diseases for the first time, which gained wide attention from Chinese and foreign media. The Center obtained the mobility patterns of HIV-infected persons and AIDS patients, which providing detailed information for the NCAIDS/STD to learn about their activities and destinations and support for regional prevention and treatment strategies and optimizing medical resource allocation, thus having great guiding significance and being highly recognized by public health experts. By establishing methods such as transmission dynamic models and parameter estimation, the Center accurately predicted the transmission trend and control effect of the Hepatitis B virus, which provided quantitative reference and policy recommendations for the China CDC to develop its "14th Five-Year Plan". The Center also have developed a series of methods of genome sequencing data analysis, and some of the results have been widely used as core methods in this field.
研究内容：数学与生命科学交叉中心面向提高疾病诊断、健康评估和重大传染病的有效防治能力这一国家重大战略需求，聚焦我国疾病诊断和传染病防治中的关键科学问题，在国家自然科学基金重点项目“典型疾病的多尺度生物系统动力学及数据分析”支持下，开展数学、医学、公共卫生、应用统计学和信息科学等多学科交叉研究，发展适合我国特点的疾病诊断、健康评估和传染病防治的原创性理论和方法。目前聚焦的研究内容有：
Research content: In response to the national strategic needs of disease diagnosis, health assessment and effective prevention and treatment of major infectious diseases, the Interdisciplinary Center for Mathematics and Life Sciences, focusing on key scientific issues in the diagnosis and prevention of infectious diseases in China and supported by the key project "Multi-scale Biological System Dynamics and Data Analysis of Typical Diseases" of the National Natural Science Foundation of China, carries out researches across mathematics, medicine, public health, applied statistics and information science, developing original theories and methods for disease diagnosis, health assessment as well as the prevention and treatment of infectious diseases. The focused research contents include:
基于模型和数据的新发重大传染病的预测预警研究；
Prediction and early warning of novel emerging infectious diseases based on model and data;
多尺度耦合系统动力学、非光滑动力系统和演化动力学模型研究；
The research on multi-scale coupled system dynamics, non-smooth dynamic systems and evolutionary dynamic models;
重大传染病/肿瘤精准诊断和精准治疗中的数学方法、统计分析研究；
The research on mathematical methods and statistical analysis in precise diagnosis and treatment of serious infectious diseases/tumors;
生物系统模型的高性能计算算法分析；
High-performance computing algorithm analysis of biological system model;
生物系统的统计分析、多尺度数据融合。
Statistical analysis and multi-scale data fusion of biological systems.
