Presenter(s)

    Nicholas Holden

    Comments

    Presentation: 9:00-10:15 a.m., Kennedy Union Ballroom

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    Description

    According to the CDC since the start of the Covid-19 pandemic the USA has had approximately 103.5 million Covid cases. To find the best way to control the disease, additional mathematical models are useful to predict what would happen in various situations. This project aims to analyze the outcomes of different interventions to determine the most effective strategies for responding to a pandemic. I used an SIR model to model how disease spreads through the population and looked at different intervention methods for controlling outbreaks. Some of these methods include, targeting vaccinations, mass quarantines, and contact tracing. I implemented simulations to keep track of important outcomes such as total infections and most infections on any single day. I examined the targeted vs. untargeted vaccine distribution strategies, the optimal timing for going into mass quarentine, and the impact of contact tracing. From these different methods we can see how to limit the spread or flatten the curve so people can live healthier lives.

    Publication Date

    4-19-2023

    Project Designation

    Capstone Project

    Primary Advisor

    Matthew Wascher

    Primary Advisor's Department

    Mathematics

    Keywords

    Stander Symposium, College of Arts and Sciences

    Institutional Learning Goals

    Scholarship; Practical Wisdom

    Modeling the Benefits of Pandemic Interventions

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