MIDAS Center for Communicable Disease Dynamics

MIDAS 传染病动态中心

• 批准号: 7725373
• 负责人: MARC LIPSITCH
• 金额: $ 323.17万
• 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/7725373
• 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)传染病动力学中心(CCDD)将作为一个全国性和国际性的研究、教学和推广中心，面向传染病建模和流行病学方面的公共卫生决策者和其他利益相关者。该中心将扩大和加强在传染病流行病学和健康决策科学方面蓬勃发展的培训计划，同时加强哈佛大学和周边地区的联系，以吸引生物信息学家、生物统计学家、进化生物学家和其他人参与与传染病建模和数据分析相关的活动。实质性研究将侧重于抗菌素耐药性、传染病的季节性，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，强调分析新出现的流行病的工具和指导控制措施以优化其有效性，以及使用遗传和最终基因组序列数据来跟踪流行病和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，使其资源、人员和方法广泛可用，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。包括疫情分析“仪表盘”在内的软件将与来自美国和香港的公共卫生合作伙伴合作开发。每年将在几个大洲的轮换地点设计和开设传染病建模短期课程；将在网上提供这一课程和新的传染病统计课程(将在卫生和公众服务部开发)的材料。一年一度的公共卫生重要主题研讨会将邀请学术和政策制定专家参加。将设立科学记者教育活动。将为疾控中心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)的一名教员设立一个学期的休假。还将开展与弱势群体成员接触的其他活动，包括“大使”计划和用等额大学资金资助的硕士研究生奖学金。加强研究、推广和教学功能的整合。公共卫生相关性：传染病模型在使用和资助干预措施以控制疾病传播的决策中日益重要。该中心将满足以下方面的需求：加强对建模人员的培训，加强建模人员与决策者之间的沟通，改进传染病数据分析的方法和软件，以及加强对传染病动态中关键问题的理解。