MIDAS Center for Communicable Disease Dynamics

MIDAS 传染病动态中心

• 批准号: 8121125
• 负责人: MARC LIPSITCH
• 金额: $ 2.61万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2014-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8121125
• 关键词: Academia; Academic Training; Address; Antimicrobial Resistance; Area; Awareness; Bacterial Infections; Biology; Biometry; Centers for Disease Control and Prevention (U.S.); Cessation of life; Childhood; Cholecalciferol; Collaborations; Communicable Diseases; Communication; Complex; Computer software; Confusion; County Hospitals; Data; Data Analyses; Decision Making; Development; Disadvantaged; Discipline; Disease; Domestic Animals; Drug Resistant Tuberculosis; Drug resistance; Drug-sensitive; Economics; Education; Education and Outreach; Educational Activities; Educational Curriculum; Educational Materials; Educational process of instructing; Effectiveness; Endemic Diseases; Epidemic; Epidemiologist; Epidemiology; Exercise; Faculty; Fellowship; Foundations; Funding; Future; Generations; Genetic; Genomics; Goals; Gonorrhea; Health; Health Policy; Health Professional; Hong Kong; Hospitals; Household; Housing; Human; Human Papilloma Virus Vaccine; Humidity; Imagery; Incidence; Individual; Infectious Agent; Infectious Disease Epidemiology; Influenza; Intention; Internet; Intervention; Journalism; Knowledge; Label; Lead; Letters; Location; Master of Public Health; Master of Science; Mathematics; Measures; Methodology; Methods; Minority; Minority-Serving Institution; Mission; Modeling; Natural Selections; Neighborhoods; Neisseria gonorrhoeae; Nosocomial Infections; Outreach Research; Paper; Pattern; Persons; Pneumonia; Policies; Population; Population Dynamics; Population Study; Positioning Attribute; Production; Proxy; Public Health; Public Health Practice; Public Health Schools; Public Health Students; Publications; Publishing; Reporting; Research; Research Personnel; Research Project Grants; Resources; Role; Route; Scheme; Science; Scientist; Serum; Site; Specialist; Statistical Data Interpretation; Statistical Methods; Streptococcus pneumoniae; Structure; Students; Surveillance Methods; Surveys; Testing; Time; TimeLine; Training; Training Programs; Tuberculosis; Ultraviolet Rays; United States; Universities; Vaccination; Validation; Variant; Visit; Visualization software; Vitamin D; Work; Writing; antimicrobial; authority; base; climate change; cohort; cost effectiveness; design; disorder control; disorder prevention; epidemiologic data; genome sequencing; graphical user interface; heuristics; high school; ilium; improved; infectious disease model; innovation; instructor; interdisciplinary approach; international center; intervention effect; mathematical model; meetings; member; methicillin resistant Staphylococcus aureus; method development; model design; novel; outreach; pathogen; prevent; programs; prototype; psychologic; public health relevance; reproductive; resistant strain; science education; statistics; success; symposium; theories; tool; transmission process; trend; user friendly software; vaccine effectiveness

DESCRIPTION (provided by applicant): The Center for Communicable Disease Dynamics (CCDD) at Harvard School of Public Health (HSPH) will serve as a national and international center for research, teaching, and outreach to public health decision makers and other stakeholders in infectious disease modeling and epidemiology. The Center will expand and augment thriving training programs in infectious disease epidemiology and health decision science while strengthening connections within Harvard University and the surrounding area to draw in bioinformaticians, biostatisticians, evolutionary biologists, and others to activities related to infectious disease modeling and data analysis. Substantive research will focus on antimicrobial resistance, communicable disease seasonality, and the broad area of policy decisions around the allocation of scarce control measures. We will also develop novel methodology, emphasizing tools for analyzing emerging epidemics and directing control measures to optimize their effectiveness, as well as on the use of genetic and ultimately genome sequence data to track epidemics and to detect the effects of natural selection on pathogen populations. The Center will have numerous activities to make its resources, people, and methods widely available and to maintain productive interactions with public health professionals, decision makers and others. Software, including an epidemic analysis "dashboard," will be developed in partnership with public health collaborators from the US and Hong Kong. A short course in infectious disease modeling will be designed and offered annually at rotating sites on several continents; materials for this course and for a novel course on infectious disease statistics (to be developed at HSPH) will be made available by web. An annual symposium on a topic of public health importance will host academic and policymaking experts. Educational activities for science journalists will be set up. Short-term visiting fellowships for CDC and other scientists will be set up to facilitate collaborations, and a semester sabbatical for a faculty member from a minority serving institution (MSI) will be set up. Additional activities for outreach to disadvantaged group members will occur, including an "ambassador" program and funded masters studentships with matching university funds. Intensive efforts will be made to integrate research, outreach, and teaching functions. PUBLIC HEALTH RELEVANCE: Infectious disease modeling is an increasingly important part of decision making about the use and funding of interventions to control the spread of diseases. This Center will meet needs for enhanced training of modelers, better communication between modelers and policymakers, better methods and software for infectious disease data analysis, and enhanced understanding of key questions in infectious disease dynamics.

描述（由申请人提供）：哈佛大学公共卫生学院 (HSPH) 的传染病动力学中心 (CCDD) 将作为国家和国际中心，为公共卫生决策者和传染病领域的其他利益相关者提供研究、教学和推广服务疾病模型和流行病学。该中心将扩大和加强传染病流行病学和健康决策科学方面蓬勃发展的培训项目，同时加强哈佛大学和周边地区的联系，吸引生物信息学家、生物统计学家、进化生物学家和其他人员参与传染病建模和数据分析相关活动。实质性研究将集中于抗菌素耐药性、传染病季节性以及围绕稀缺控制措施分配的广泛政策决策领域。我们还将开发新的方法，重点是分析新出现的流行病和指导控制措施以优化其有效性的工具，以及使用遗传和最终基因组序列数据来跟踪流行病并检测自然选择对病原体种群的影响。该中心将开展大量活动，以广泛利用其资源、人员和方法，并与公共卫生专业人员、决策者和其他人保持富有成效的互动。包括流行病分析“仪表板”在内的软件将与美国和香港的公共卫生合作者合作开发。每年将在几大洲的轮换地点设计并提供传染病建模短期课程；本课程和传染病统计新课程（将在 HSPH 开发）的材料将通过网络提供。关于公共卫生重要性主题的年度研讨会将邀请学术和政策制定专家参加。将为科学记者举办教育活动。将为 CDC 和其他科学家设立短期访问奖学金以促进合作，并将为少数族裔服务机构 (MSI) 的教职人员设立一个学期休假。还将开展更多针对弱势群体成员的外展活动，包括“大使”计划以及由大学配套资金资助的硕士生奖学金。将大力整合研究、推广和教学功能。公共卫生相关性：传染病模型是有关使用和资助控制疾病传播干预措施的决策中日益重要的一部分。该中心将满足加强建模者培训、建模者和政策制定者之间更好的沟通、更好的传染病数据分析方法和软件以及加深对传染病动力学关键问题的理解的需求。