Summer Institute in Statistics and Modeling in Infectious Diseases

传染病统计与建模夏季研究所

• 批准号: 10223163
• 负责人: M Elizabeth Halloran
• 金额: $ 33.09万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-24 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10223163
• 关键词: Address; Award; Awareness; Basic Science; Bayesian Analysis; Biomedical Research; Bioterrorism; Case Study; Charge; Collection; Communicable Diseases; Computing Methodologies; Country; Data; Data Analyses; Disease Outbreaks; Ebola; Electronic Mail; Emerging Communicable Diseases; Epidemic; Epidemiology; Europe; Evaluation; Event; Evolution; Faculty; Funding; Goals; Government; Grant; Home; Immunity; Immunology; Industry; Infectious Diseases Research; Influenza; Influenza A Virus, H1N1 Subtype; Institution; Instruction; International; Intervention; Learning; Markov Chains; Mathematics; Measurable; Mentors; Methods; Modeling; Molecular Epidemiology; Names; National Institute of Allergy and Infectious Disease; Paper; Participant; Population; Positioning Attribute; Postdoctoral Fellow; Probability; Public Health; Reproducibility; Request for Proposals; Research; Research Design; Research Personnel; Research Project Grants; Scientist; Series; Statistical Methods; Statistical Models; Structure; Students; Study models; Training; Training Activity; Travel; United States; Universities; Virus; Washington; Western Africa; Writing; Zika Virus; base; career; data streams; data visualization; design; dynamic system; education research; experience; genomic data; graduate student; improved; infectious disease evolution; infectious disease model; innovation; instructor; mathematical methods; mathematical model; mathematical sciences; meetings; microbiome; next generation; novel; pandemic disease; pathogen; programs; public health relevance; responsible research conduct; simulation; skill acquisition; skills; statistics; summer institute; transmission process; waiver

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.

摘要 年度夏季研究所在传染病统计和建模的总体目标 疾病（SISMID）在华盛顿大学是教育下一代的 研究人员在广泛的国家的最先进的定量方法， 疾病研究。技能发展课程：SISMID是一个16个2.5天的集合 7月提供了超过2.5周的与研究相关的各种主题的模块 传染病的统计、建模和计算方法教育 疾病大多数参与者平均每年参加三个模块。SISMID已被 自2009年以来，每年夏季举办。该提案要求为2020-2024年提供资金。2020年 SISMID提议提供以下服务：1。概率和统计推断; 2。 传染病的数学模型; 3。R的定义; 4。因果推理; 5. 病毒进化动力学与分子流行病学; 6.随机流行病 有推理的模型; 7.马尔可夫链蒙特卡罗I; 8.微生物组数据分析; 9. 病原体进化，选择和免疫; 10。基于仿真的推理 流行病学动态; 11.新数据流的统计和建模; 12. 传染病，免疫学，宿主模型; 13。马尔可夫链蒙特卡罗II 传染病; 14。流行病学和公共卫生的空间统计; 15。 接触网络流行病学：16。利用基因组数据重建传播。 导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工业界。导师导师将被分配到 通过此补助金获得支持的收件人，并在SISMID之前进行电子邮件联系。他们 将在SISMID期间见面。研究经验将包括团队工作， 正在进行的项目和使用创新方法进行可重复的研究。这个NIAID 研究教育计划（R25）将使我们能够提供研究生和 博士后研究员每年约350模块免费和100部分 旅行奖励。