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Department
Engineering
Abstract
Compartmental modeling is a method of employing math to create visual representations of a disease interacting with a select population, typically used in epidemiology analyses. This project applies and adapts compartmental modeling equations to data collected on the deaths, infection, and testing 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 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.
Thesis Record URL
https://digitalcommons.andrews.edu/honors/258/
Session
Department of Engineering
Event Website
https://www.andrews.edu/services/research/research_events/conferences/urs_honors_poster_symposium/index.html
Start Date
3-26-2021 2:20 PM
End Date
3-26-2021 2:40 PM
Modeling of COVID-19 Utilizing Various Compartmental Models to Predict Infection Rates Throughout Michigan
Compartmental modeling is a method of employing math to create visual representations of a disease interacting with a select population, typically used in epidemiology analyses. This project applies and adapts compartmental modeling equations to data collected on the deaths, infection, and testing 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 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.
https://digitalcommons.andrews.edu/honors-undergraduate-poster-symposium/2021/symposium/19
Acknowledgments
Advisor: Hyun Kwon