Understanding the Role of Time Distribution in the COVID-19 Epidemic Model
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics
Date of Award
Spring 2023
Abstract
The epidemiological model for this thesis is a distributed recovery and mortality rate, compartmental model. This model can sometimes be simplified to standard SEIR models. Generally, the epidemiological dynamics vary in this model. The basic reproduction number, the delay model, and the final size of the epidemic are determined in epidemic models by the integral of the function. The distribution of recovery and mortality rates is calculated based on COVID (COVID-19) data. This model is validated based on epidemiological data derived from Texas and is more consistent with the data than SEIR.
Advisor
Aditi Ghosh
Subject Categories
Applied Mathematics | Physical Sciences and Mathematics
Recommended Citation
Ofori, Collins, "Understanding the Role of Time Distribution in the COVID-19 Epidemic Model" (2023). Electronic Theses & Dissertations. 1086.
https://digitalcommons.tamuc.edu/etd/1086
