Using Computation Fluid Dynamics to Mitigate Airborne Disease Transmission in Orchestras

Zhifei Zeng ’23 Since the start of the COVID-19 pandemic, many performing arts groups such as choirs, orchestras, opera, and dance companies have suffered a heavy loss. This is mainly because COVID-19 can be spread through infectious aerosols produced by singing or playing wind instruments, which led to show cancellations throughout the industry. To assess mitigation strategies to reduce the risk of infection to performers, … Continue reading Using Computation Fluid Dynamics to Mitigate Airborne Disease Transmission in Orchestras

Figure 1. Downtown Manhattan, New York City, where high population density makes infectious disease spread easily.

Predicting Flu With Mobility Behaviors

Gene Yang ‘19 In the mathematical modeling of infectious disease, determining the mobility of infectious diseases as well as the mobility patterns of individuals in a population is crucial to predicting the spatial and temporal diffusion of such illnesses. Researchers from the University of Trento gathered two types of data, mobility data and self-reported health data, to construct and validate a model that predicts the … Continue reading Predicting Flu With Mobility Behaviors