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

新出现和重新出现的传染病对全世界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，但目前对其出现和传播背后的复杂机制的理解仍然有限。该项目旨在使用基于流体动力学的创新方法来提高对传染病的认识。从这项研究中获得的见解有可能加强疾病预防和干预策略，改善治疗方法，并为流行病/大流行病管理实践提供信息。该项目是位于查塔努加的田纳西大学和佛罗里达大学之间的合作项目，提供了宝贵的教育和推广机会。它将吸引来自两个机构的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的研究培训。该项目还将特别重视从代表性不足的群体中招募和支持学生，促进该领域的多样性。该项目的主要目标是开发一个创新的数学和计算建模框架，将流体动力学和传染病集成在多个尺度上。这一创新框架代表了传染病研究的前沿方法。拟议的研究将解决传染病在人群水平上的空间传播，探索人体内病原体和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动力学的应用，宿主内和人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，该项目旨在更深入地了解传染病的发病机制，传播和传播。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值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.