Date of Award

3-4-2021

Document Type

Honors Thesis

Department

Engineering & Computer Science

First Advisor

Hyun Kwon

Abstract

Compartmental modeling is a method of employing math to create a visual representation of a disease interacting with a select population, typically used in epidemiology analyses. This project applies compartmental modeling equations to data collected on the various aspects of COVID-19 in Michigan. Comparing current data to past predictive models, as well as the visual representations that were developed through the various compartmental modeling methods, allows an assessment of the effects of the preventative measures taken by the state, the various rates at which the infection is able to spread, as well as the potential path and spread of the virus in the future.

Subject Area

COVID-19 (Disease)-- Michigan--Mathematical models; Covid-19 (Disease)--Infections--Mathematical models; COVID-19 (Disease)--Epidemiology

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