eMB: Collaborative Research: Fluid Dynamics and Infectious Diseases: An Integrated Modeling Framework

新出现和再次出现的传染病对世界各地的公共卫生构成重大威胁。尽管对这些疾病进行了广泛的研究和控制，但目前对它们出现和传播背后的复杂机制的了解仍然有限。该项目旨在利用一种基于流体动力学的创新方法来增进对传染病的认识。从这项研究中获得的见解有可能加强疾病预防和干预战略，改进治疗，并为流行病/大流行管理做法提供信息。该项目是田纳西大学查塔努加分校和佛罗里达大学的合作项目，提供了宝贵的教育和外展机会。它将吸引这两个机构具有数学和工程背景的学生，为他们提供应用数学、流体动力学、公共卫生和计算科学交叉领域的研究培训。该项目还将特别重视招收和支持任职人数不足的群体的学生，促进实地的多样性。该项目的主要目标是开发一种创新的数学和计算建模框架，将流体动力学和传染病在多个尺度上整合在一起。这一创新框架代表了传染病研究的前沿方法。拟议的研究将在人口水平上解决传染病的空间传播，探索病原体与人体内个体宿主之间的相互作用，并在不同尺度上建立疾病动态之间的联系。研究任务涉及计算流体力学的应用，宿主内和种群水平的传染病建模，以及具有高性能计算的多尺度建模。通过利用这些方法，该项目寻求更深入地了解传染病的发病机制、传播和传播。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Emerging and reemerging infectious diseases pose significant threats to public health worldwide. Despite extensive research and control efforts for these diseases, the understanding of the complex mechanisms behind their emergence and spread remains limited at present. This project aims to advance the knowledge of infectious diseases using an innovative approach based on fluid dynamics. The insights obtained from this research have the potential to enhance disease prevention and intervention strategies, improve therapeutic treatment, and inform epidemic/pandemic management practices. The project is a collaboration between the University of Tennessee at Chattanooga and the University of Florida and offers valuable educational and outreach opportunities. It will engage students from math and engineering backgrounds at the two institutions, providing them with research training at the intersection of applied math, fluid dynamics, public health, and computational science. The project will also place a special emphasis on recruiting and supporting students from underrepresented groups, promoting diversity in the field. The major goal of this project is to develop an innovative mathematical and computational modeling framework that integrates fluid dynamics and infectious diseases across multiple scales. This innovative framework represents a cutting-edge approach in infectious disease research. The proposed research will address the spatial spread of infectious diseases at the population level, explore the interactions between pathogens and individual hosts within the human body, and establish connections between disease dynamics at different scales. The research tasks involve the application of computational fluid dynamics, infectious disease modeling at both the within-host and population levels, and multi-scale modeling with high-performance computation. By leveraging these methodologies, the project seeks to gain a deeper understanding of the pathogenesis, transmission, and propagation of infectious diseases.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.