Mathematical, Computational, and Predictive Modeling Core

项目总结：Laurent Hebert-Dufresne博士，MCP核心（研究核心2） 减轻全球传染病的巨大负担仍然是最重要的公共卫生问题之一 世界上的问题。这一认识在COVID-19期间引起了世界的关注 流行病数学和计算预测（MCP）建模对于理解 流行病学和机械生物学背后的全球传染病的传播。模特可以扮演 例如，在提高我们对抗菌素耐药性的理解和预测方面， 设计新的抗菌剂和诊断测试，并阐明免疫反应的复杂性 参与疫苗诱导的保护。为了充分利用MCP建模在全球传染病中的潜力， 然而，在疾病研究中，我们需要继续发展一种共同的语言和目的， 在生物世界和计算世界之间所缺乏的。在TGIR COBRE的第一阶段， 通过合作研究和互惠合作， 对每个小组的领域专长进行教育。在TGIR COBRE计划的第二阶段，MCP核心将 继续推进这一使命，使其主要目标是通过将主控制程序 建模对UVM的全球传染病研究产生影响，并支持我们正在发展的研究 项目负责人（RPL）和初级教师。与此同时，MCP核心将继续其至关重要的作用， 已经成功地弥合了科学家与生物医学之间的科学文化差距， 背景和具有计算建模专业知识的人员。为此，MCP核心将扩展TGIR COBRE在第二阶段的机构实力，积极促进跨校园的研究项目，重点是 全球性传染病。将特别关注开发可重复使用许可证和创建资助研究 由来自生物医学和数学/计算领域的研究人员领导的项目。这些目标 将在三个具体目标下进行：1）直接为TGIR COBRE研究提供专业知识和服务 项目负责人，试点获奖者和初级教师，以及其他TGIR教师建立和测试计算 全球重要传染病模型，2）扩大和成熟所需的教育组成部分 培训下一代科学家，使他们能够同时使用生物医学和计算研究工具， 传染病的全球负担，以及3）通过促进发展 可资助的跨校园研究项目，将生物医学和数学/计算科学家 在全球传染病的协同合作中。

PROJECT SUMMARY: Laurent Hebert-Dufresne, PhD, MCP Core (Research Core 2) Reducing the enormous burden of global infectious diseases remains one of the most important public health problems in the world. This realization was brought to the attention of the world during the COVID-19 pandemic. Mathematical and Computational Predictive (MCP) modeling is essential for understanding the epidemiology and mechanistic biology behind the spread of global infectious diseases. Modeling can play a critical role, for example, in improving our understanding and prediction of antimicrobial resistance, in the design of new antimicrobials and diagnostic tests, and in clarifying the complexities of the immune response involved in vaccine-induced protection. To fully exploit the potential of MCP modeling in global infectious disease research, however, we need to continue developing a common language and purpose that is still often lacking between the biological and computational worlds. In Phase I of this TGIR COBRE, we made significant progress in bridging this biomedical-computational “culture gap” through collaborative research and reciprocal education about each group’s domain expertise. In Phase 2 of this TGIR COBRE program, the MCP Core will continue to advance this mission by making its primary goal to serve the TGIR COBRE by bringing MCP modeling to bear on global infectious diseases research at UVM and to support our developing research project leaders (RPL) and junior faculty. At the same time, the MCP Core will continue its crucially important and already successful program of bridging the scientific culture gap between scientists with biomedical backgrounds and those with computational modeling expertise. To do this, the MCP Core will expand the TGIR COBRE institutional strength in Phase 2 by actively fostering cross-campus research projects focused on global infectious disease. Particular focus will be given to developing RPLs and creating funded research projects led by investigators from both the biomedical and mathematical/computational domains. These goals will be pursued in three Specific Aims: 1) to provide expertise and services directly to TGIR COBRE research project leaders, pilot awardees, and junior faculty, as well as other TGIR faculty to build and test computational models of globally important infectious diseases, 2) to expand and mature the educational components needed to train the next generation of scientists to employ both biomedical and computational research tools to reduce the global burden of infectious disease, and 3) to build institutional strength by fostering the development of fundable cross-campus research projects that bring biomedical and mathematical/computational scientists together in synergistic collaborations focused on global infectious disease.