Xiao Luo, '22, is majoring in mathematics and statistics. Keeping track of the latest news of COVID-19 outbreak has inspired her to explore a mathematical model of the transmission of COVID-19 and the efficacy of different management strategies in the summer of 2020 because this topic is closely related to her hometown, China. This whole research process greatly develops her professional skills and knowledge and enhance the academic experience, which will benefit to her future career development, including applications to graduate schools.
This summer, I worked on a project titled “Exploring mathematical models of the transmission of COVID-19 and the efficacy of different management strategies” with my mentor, professor Rebecca Terry. My goal is to understand how coronavirus spreads within a population and explore how different factors affect transmission. Based on this exploration, I aim to consider how different management strategies may affect the spread of coronavirus through the population and compare the efficacy of different management strategies, such as quarantine and mask wearing. In general, my project consists of three models: basic SIR model, SEAI3QR quarantine model, and masking model.