We propose a new mathematical and computational modeling framework that in-corporates fluid dynamics to study the spatial spread of infectious diseases.We model the susceptible and infected populations as two inviscid...We propose a new mathematical and computational modeling framework that in-corporates fluid dynamics to study the spatial spread of infectious diseases.We model the susceptible and infected populations as two inviscid fluids which interact with each other.Their motion at the macroscopic level characterizes the progression and spread of the epidemic.To implement the two-phase flow model,we employ high-order numerical methods from computational fluid dynamics.We apply this model to simulate the COVID-19 outbreaks in the city of Wuhan in China and the state of Tennessee in the US.Our modeling and simulation framework allows us to conduct a detailed investigation into the complex spatiotemporal dynamics related to the transmission and spread of COVID-19.展开更多
基金supported by the National Natural Science Foundation of China under grant number 12201169the Fundamental Research Funds for the Central Universities in China under grant number JZ2022HGQA0153supported by the National Institutes of Health under grant number 1R15GM131315.
文摘We propose a new mathematical and computational modeling framework that in-corporates fluid dynamics to study the spatial spread of infectious diseases.We model the susceptible and infected populations as two inviscid fluids which interact with each other.Their motion at the macroscopic level characterizes the progression and spread of the epidemic.To implement the two-phase flow model,we employ high-order numerical methods from computational fluid dynamics.We apply this model to simulate the COVID-19 outbreaks in the city of Wuhan in China and the state of Tennessee in the US.Our modeling and simulation framework allows us to conduct a detailed investigation into the complex spatiotemporal dynamics related to the transmission and spread of COVID-19.
