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.

项目总结-整体组件 尽管在20世纪和世纪早期取得了惊人的进步，但传染病是动态的，不断演变的 这些全球性威胁在全世界所有人口中造成严重的发病率和死亡率。一年之内， 寨卡病毒已经出现，霍乱大规模爆发，抗菌素耐药性已经成为一种流行病。 严重的国际关注。这种情况需要新的方法来预防和控制传染病 疾病，并培养新的科学家，以满足这些需求。新的方法需要解释 大数据集，包括来自生物科学（“系统生物学”和“组学”）和高级 流行病学佛蒙特大学COBRE将专注于转化研究，以防止和 控制全球传染病。TGIR中心（Translational Global Infectious Diseases Research） 将整合生物医学和数学/计算科学家的新型多学科研究团队。 该团队将致力于新的和有影响力的研究，以减少全球重要的传染性疾病的负担。 通过弥合生物和数学/计算领域之间的文化差距， 生物医学研究我们的中心将利用UVM在全球传染病领域的大量现有优势， 疾病研究，并在复杂系统和计算建模的优势。一批经验丰富的 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“人类与人口研究”），将促进合作和新颖的研究。TGIR将 发展四个优秀的，现有的初级教师的指导下，高级科学顾问从三个 UVM学院和五个系。机构支助将使三名新的初级教员得以征聘 并将为一个新的创新与合作实验室提供空间，后者也得到了 拟议改建和翻修部分。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找到一个强大，组织良好的学术之家： 强有力的指导和职业发展计划，一个中心范围的系列研讨会和课程，以及 来自两个研究核心的多学科高级教师团队的研究支持。