DOI: https://doi.org/10.15368/theses.2022.91
Available at: https://digitalcommons.calpoly.edu/theses/2475
Date of Award
6-2022
Degree Name
MS in Mathematics
Department/Program
Mathematics
College
College of Science and Mathematics
Advisor
Elena Dimitrova
Advisor Department
Mathematics
Advisor College
College of Science and Mathematics
Abstract
Through methods in network theory and time-series analysis, we will analyze the spread of COVID-19 in the United States by determining trends in state-by-state daily cases through a network construction. Previous researchers have found frameworks for approximating the spread of the COVID-19 pandemic and identifying potential rises in cases by a network construction based on correlation of cases between regions [1]. Applying this network construction we determine how this network and its structure act as a predictor for overall COVID-19 cases in the United States by preforming a trend analysis on a variety of network statistics and US COVID-19 cases.