Statistical Methods in Modeling Infectious Disease Dynamics
Open Access
Author:
Stocker, Kaitlyn Elizabeth
Area of Honors:
Statistics
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
Murali Haran, Thesis Supervisor Murali Haran, Thesis Honors Advisor Matthew D Beckman, Faculty Reader
Keywords:
statistics infectious disease measles TSIR
Abstract:
In this thesis, I consider a few important examples of SIR models, study how these models behave, and consider approaches that have been used to fit these models. Based on several simulated examples, I examine how various model fitting approaches work in practice, and provide some practical recommendations. I apply the models and methods to measles data from multiple American cities. Based on the simulated data and real examples, I summarize some current challenges and open research questions.
