Fitting the SIR Epidemiological Model to Influenza Data
Author: Madeline Dorr
Graduation Year: 2019
Thesis Advisor: David Hiebeler
Description of Publication: This project sought to provide thorough instructions to fitting the SIR epidemiological model to influenza data and defend its use in this context. Directions for coding the SIR model in the R programming language are detailed. This includes estimating parameter values, such as infection and recovery rate, and how to double check these values. This project also included analysis of problems that can arise when fitting this model. This includes accounting for vaccination rate and issues with the nature of this type of data. Either these problems were explored, and solutions were provided, or suggestions were provided for future research.
Location of Publication:
URL to Thesis: https://digitalcommons.library.umaine.edu/honors/477/