Summer Institute in Statistics and Modeling in Infectious Diseases

摘要 一年一度的传染病统计和建模夏季学院的总体目标 华盛顿大学的疾病(SISMID)是为了教育下一代 研究人员使用各种最先进的定量方法对传染性疾病进行研究 疾病研究。技能发展课程：SISMID由16门为期2.5天的课程组成 7月份提供了超过2.5周的与研究相关的各种主题的模块 应用于传染病的统计学、建模和计算方法方面的教育 疾病。大多数参与者平均每年参加三个模块的课程。SISMID已经被 自2009年以来每年夏季举行。该提案要求为2020-2024年提供资金。2020年 SISMID建议提供以下内容：1.概率与统计推理；2. 传染病数学模型；3.R导论；4.因果推理；5. 病毒的进化动力学和分子流行病学6.随机流行 带推理的模型；7.马尔科夫链蒙特卡罗I；8.微生物组数据分析；9. 病原体的进化、选择和免疫；10.基于模拟的推理 流行病学动力学；11.新数据流的统计和建模；12. 传染病，免疫学，宿主模型中；13.马尔科夫链蒙特卡罗2 传染病空间统计；14.流行病学和公共卫生空间统计； 接触网络流行病学：16.用基因组数据重建传播。 讲师来自华盛顿大学和其他学术机构 美国和欧洲的机构，以及行业。讲师导师将被分配到 通过这笔赠款获得支持并在SISMID之前通过电子邮件联系的收件人。他们 将在SISMID期间相遇。研究经验将包括团队工作在 正在进行的项目，并使用创新方法进行可重复的研究。这个NIAID 研究教育计划(R25)将允许我们为研究生和 博士后研究员每年约350个单元免费，100个部分单元 旅游大奖。

ABSTRACT The overall goal of the annual Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) at the University of Washington is to educate the next generation of researchers in a broad range of state-of-the-art quantitative methods for infectious disease research. Courses for skill development: SISMID is a collection of 16 2.5-day modules offered over 2.5 weeks in July on a variety of topics relevant to research education in statistics, modeling and computational methods applied to infectious diseases. Most participants take on average three modules per year. SISMID has been held each summer since 2009. This proposal requests funds for 2020-2024. The 2020 SISMID proposes to offer the following: 1. Probability and Statistical Inference; 2. Mathematical Models of Infectious Diseases; 3. Introduction to R; 4. Causal Inference; 5. Evolutionary Dynamics and Molecular Epidemiology of Viruses; 6. Stochastic Epidemic Models with Inference; 7. Markov chain Monte Carlo I; 8. Microbiome Data Analysis; 9. Pathogen Evolution, Selection, and Immunity; 10. Simulation-based Inference for Epidemiologic Dynamics; 11. Statistics and Modeling with Novel Data Streams; 12. Infectious Diseases, Immunology, Within Host Models; 13. Markov chain Monte Carlo II for Infectious Diseases; 14. Spatial Statistics in Epidemiology and Public Health; 15. Contact Network Epidemiology: 16. Reconstructing Transmission with Genomic Data. The instructors are drawn from the University of Washington and other academic institutions in the USA and Europe, and industry. Instructor mentors will be assigned to recipients of support through this grant and put into email contact before SISMID. They will meet together during SISMID. Research experiences will include teams working on ongoing projects and using innovative methods for reproducible research. This NIAID Research Education Program (R25) will allow us to provide graduate students and postdoctoral fellows approximately 350 modules per year without charge and 100 partial travel awards.