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.
Recommended Citation
Staniszewski, Colleen M., "Modeling of COVID-19 Utilizing Various Compartmental Models to Predict Infection Rates Throughout Michigan" (2021). Honors Theses. 258.
https://dx.doi.org/10.32597/honors/258/
https://digitalcommons.andrews.edu/honors/258
Subject Area
COVID-19 (Disease)-- Michigan--Mathematical models; Covid-19 (Disease)--Infections--Mathematical models; COVID-19 (Disease)--Epidemiology
Presentation Record URL
https://digitalcommons.andrews.edu/honors-undergraduate-poster-symposium/2021/symposium/19/
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
DOI
https://dx.doi.org/10.32597/honors/258/