Multi-Scale Modeling of SARS-CoV-2 Dissemination Dynamics

SARS-CoV-2 传播动力学的多尺度建模

• 批准号: 10402634
• 负责人: Beth Diane Kirkpatrick
• 金额: $ 32.24万
• 依托单位: UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10402634
• 关键词: 2019-nCoV; Advisory Committees; Antimicrobial Resistance; Big Data; Biological; Biological Sciences; Biomedical Research; Center for Translational Science Activities; Centers of Research Excellence; Cholera; Clinical; Clinical Trials; Collaborations; Communicable Diseases; Complement; Complex; Computer Models; Core Facility; Data; Data Set; Development; Discipline; Disease Outbreaks; Epidemiology; Faculty; Faculty Recruitment; Fostering; Goals; Growth; Home; Human; Immunology; Infectious Diseases Research; Interdisciplinary Study; International; Laboratories; Lead; Mathematics; Mentors; Mentorship; Methods; Molecular; Morbidity - disease rate; Parasitology; Physicians; Population; Population Research; Prevention; Program Development; Research; Research Infrastructure; Research Personnel; Research Support; Science; Scientist; Series; Structure; System; Systems Biology; Talents; Teacher Professional Development; Training; Translational Research; Universities; Vaccines; Vermont; Work; ZIKA; career development; college; design; experience; global health; improved; innovation; interest; member; mortality; multi-scale modeling; multidisciplinary; novel; novel strategies; novel therapeutics; predictive modeling; prevent; programs; recruit; senior faculty; success; symposium; synergism

PROJECT SUMMARY – Overall Component Despite striking advances in the 20th and early 21st century, infectious diseases are dynamic, ever-evolving global threats that cause significant morbidity and mortality in all populations worldwide. Within a single year, Zika has emerged, massive outbreaks of cholera have occurred, and antimicrobial resistance has become a critical international concern. This landscape demands new approaches to prevent and control infectious diseases, and the training of new scientists to meet these demands. New approaches will require interpretation of big data sets, including data from both the biologic sciences (“systems biology” and “-omics”) and advanced epidemiology. This University of Vermont COBRE will be focused on Translational Research to Prevent and Control Global Infectious Diseases. “The TGIR Center” (Translational Global Infectious Diseases Research) will integrate a novel multi-disciplinary research team of biomedical and mathematical/computational scientists. The team will work toward novel and impactful research to diminish the burden of globally-important infectious diseases by bridging the culture gaps between the biologic and mathematical/computational fields of biomedical research. Our center will leverage substantial existing strengths at UVM in Global Infectious Diseases Research, and strengths in complex systems and computational modeling. A team of experienced directors, scientific advisors/mentors, and two new core facilities (“Mathematical and Computational Predictive Modeling” and “Human and Population Research”), will foster collaborative and novel research. The TGIR will develop four outstanding, existing junior faculty under the mentorship of senior scientific advisors from three UVM colleges and five departments. Institutional support will enable recruitment of three new junior faculty and will provide space for a new Innovation and Collaboration laboratory, the latter also supported by the proposed Alteration and Renovation component. Internal and external advisory committees will provide formal, unbiased oversight. Junior faculty will find a robust, well-organized academic home in the TGIR COBRE: a strong mentoring and career-development program, a center-wide seminar series and coursework, and research support from multi-disciplinary senior faculty teams in both research cores.

项目摘要 - 整体组成部分 尽管在20世纪和21世纪初取得了惊人的进步，但传染病是动态的，不断发展的 全球所有人口都会引起大量发病率和死亡率的全球威胁。在一年之内， 寨卡病已经出现了，发生了巨大的霍乱爆发，抗菌素的抗性已成为 关键的国际关注点。这种景观需要预防和控制感染性的新方法 疾病以及对新科学家的培训以满足这些要求。新方法将需要解释 大数据集，包括来自生物科学（“系统生物学”和“ -OMICS”）的数据和高级 流行病学。佛蒙特大学的柯布雷大学将重点介绍转化研究，以预防和 控制全球传染病。 “ TGIR中心”（转化全球传染病研究） 将整合一个新型的生物医学和数学/计算科学家的多学科研究团队。 该团队将致力于新颖和有影响力的研究，以减少全球至关重要的感染力的燃烧 通过弥合生物学和数学/计算领域之间的培养差距来弥合疾病 生物医学研究。我们的中心将利用全球感染性UVM的实质性现有优势 疾病研究以及复杂系统和计算建模的优势。一支经验团队 董事，科学顾问/导师和两个新的核心设施（数学和计算预测 建模”和“人类和人口研究”），将促进协作和新颖的研究。 在三个高级科学顾问的心态下发展四个杰出的，现有的初级教师 UVM学院和五个部门。机构支持将招募三个新的初级教师 并将为新的创新和协作实验室提供空间，后者也得到了 提出的改变和翻新成分。内部和外部咨询委员会将提供正式的 公正的监督。初级教师将在Tgir Cobre中找到一个健壮，组织良好的学术住所： 强大的心理和职业发展计划，一个中心的开创性系列和课程，以及 两个研究核心的多学科高级教师团队的研究支持。