Date of Award

7-10-2020

Document Type

Thesis and Dissertation

Degree Name

Master of Science (MS)

Department

Department of Mathematics

First Advisor

Olcay Akman

Abstract

Modeled the spread and mortality of COVID-19 throughout the city of Chicago. By incorporating group frailty into a classic SEIR infectious disease model, we were able to differentiate the population of Chicago by their response to COVID-19. Three age groups with different COVID-19-induced death rates were examined, and the model sought to showcase the multiplicative deviation of each age group death rate from the average disease-induced death rate. This adjustment for different death rates among age groups accounted for heterogeneity within the population, and sought to introduce a more accurate manner for modeling the spread of infectious diseases.

Comments

Imported from Sifuentes_ilstu_0092N_11781.pdf

DOI

https://doi.org/10.30707/ETD2020.1606247535.296021ah

Page Count

41

Included in

Epidemiology Commons

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