Summer Institute in Statistics and Modeling in Infectious Diseases

描述(由申请人提供)： 摘要为华盛顿大学传染病统计和建模夏季研究所(SISMID)寻求资金。该提案特别要求为学生/博士后伙伴参与者奖学金和讲师津贴提供资金。SISMID将于2009年首次以较小的形式举行。这项提案要求2010-2014年的资金。暑期计划将提供以下方面的介绍性研讨会：传染病的统计方法和动态建模、干预计划的直接和间接影响的评估，特别是疫苗接种、因果推理、网络推理、耐药性的演变和进化系统动力学。SISMID还为统计学家和其他定量科学家提供了传染病免疫学和生物学的入门讲习班。与会者将来自学术界、工业界和政府部门。讲师来自华盛顿大学、弗雷德·哈钦森癌症研究中心(FHCRC)、美国和其他国家的工业界和其他机构。SISMID由华盛顿大学和FHCRC生物统计学系教授M.Elizabeth Halloran领导。2010年版的SISMID将提供下列模块：1.传染病和免疫学；2.传染病的数学模型；3.概率和统计推理；4.传染病的MCMC；5.疫苗临床试验的设计和分析；6.随机动态模拟模型；7.集群随机试验；8.流行病的推断；9.免疫反应的宿主内建模；10.评估保护的替代物；11.传染病的网络理论；12.传染病的因果推断；13.进化推理和系统动力学；14.抗药性的进化15.观察性研究的设计和分析。该奖项将支持60名学生/博士后同伴参加。 公共卫生相关性： 项目说明研究传染病以及发现和评价干预措施的统计和数学方法变得越来越重要。必须对科学家进行统计和数学方法方面的教育，以了解传染病的进化、传播、遗传学、动力学、疫苗和抗药性。传染病统计和建模夏季研究所为传染病研究人员、统计学家和其他科学家提供统计和数学建模培训。教育使他们能够设计研究、分析数据，并对与重要的公共卫生和基础科学问题有关的传染病的动态和演变进行建模。

DESCRIPTION (provided by applicant): ABSTRACT Funding is sought for the Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) at the University of Washington. This proposal specifically requests funds for student / postdoctoral fellow participant scholarships and instructor stipends. The SISMID will be held for the first time in a smaller form in 2009. This proposal requests funds for 2010-2014. The summer program will provide introductory workshops on statistical methods and dynamic modeling in infectious diseases, evaluation of direct and indirect effects of intervention programs, particularly vaccination, causal inference, inference on networks, evolution of drug resistance, and evolutionary phylodynamics. The SISMID also provides an introductory workshop on immunology and biology of infectious diseases for statisticians and other quantitative scientists. Participants will be drawn from academia, industry and government. Instructors are drawn from the University of Washington, Fred Hutchinson Cancer Research Center (FHCRC), industry, and other institutions in the USA and other countries. The SISMID is directed by M. Elizabeth Halloran, Professor of the Department of Biostatistics at the University of Washington and FHCRC. The 2010 version of SISMID will offer the following modules: 1. Infectious Diseases and Immunology; 2. Mathematical Models of Infectious Diseases; 3. Probability and Statistical Inference; 4. MCMC for Infectious Diseases; 5. Design and Analysis of Vaccine Clinical Trials; 6. Stochastic Dynamic Simulation Models; 7. Cluster-Randomized Trials; 8. Inference on Epidemics; 9. Within-Host Modeling of the Immune Response; 10. Evaluating Surrogates of Protection; 11. Network Theory in Infectious Diseases; 12. Causal Inference in Infectious Diseases; 13. Evolutionary Inference and Phylodynamics; 14. Evolution of Drug Resistance 15. Design and Analysis of Observational Studies. This award will support 60 student / postdoctoral fellow participants. PUBLIC HEALTH RELEVANCE: PROJECT NARRATIVE Statistical and mathematical methods for the study of infectious diseases and for discovery and evaluation of interventions have become increasingly important. It is essential to educate scientists in the statistical and mathematical methods for understanding evolution, transmission, genetics, dynamics, vaccines and drug resistance in infectious diseases. The Summer Institute in Statistics and Modeling in Infectious Diseases provides statistical and mathematical modeling training to infectious disease researchers, statisticians and other scientists. The education allows them to design studies, analyze data, and model dynamics and evolution of infectious diseases relevant to important public health and basic science questions.